Colorado College News: Mathematics & Computer Science, CC Co-sponsors Virtual Redistricting Symposium Mon, 14 Sep 2020 13:00:00 MDT <p>Colorado College is co-sponsoring a virtual public symposium on redistricting in Colorado titled &ldquo;Connecting Colorado for Fair Redistricting: A Public Symposium and Call to Action&rdquo; from 9 a.m. to 4 p.m., Saturday, Sept. 19.</p> <p>The free symposium will consist of a series of public conversations with redistricting experts, government staff, activists, and concerned citizens on redistricting, why it matters for everyone, and how Coloradoans can help, says Assistant Professor of Mathematics and symposium organizer Beth Malmskog. Major themes of the symposium include how the public can get involved in the redistricting process, how data and mathematics are involved in fair redistricting, and how redistricting will impact Colorado&rsquo;s communities of color.</p> <p>CC&rsquo;s Associate Professor of Political Science Elizabeth Coggins will deliver the opening presentation, titled &ldquo;Democracy, Representation, and the Stakes of Redistricting.<strong>&rdquo;</strong></p> <p>Gerrymandering is the process of manipulating the boundaries of electoral districts for political gain. &ldquo;This is considered by many to be deeply unfair, but it has been a common practice in the U.S. for more than 200 years,&rdquo; says Malmskog.&nbsp;&ldquo;Partisan gerrymandering has become even more of an issue in recent years with the rise of powerful technologies and focused strategies.&rdquo;</p> <p>Jeanne Clelland, Professor of Mathematics at University of Colorado-Boulder, will discuss a mathematical technique that has figured prominently in recent court cases around partisan gerrymandering in her presentation, &ldquo;Colorado in Context: Mathematics, Redistricting, and Colorado.&rdquo; As part of that, she will present a mathematical and statistical analysis of Colorado&rsquo;s current districting plan and electoral landscape that was conducted by a team of researchers that included several Colorado College students and alumni.</p> <p>The team consisting of Clelland, Malmskog, Washington State Assistant Professor 0f Data Analytics Daryl DeFord, Colorado College Assistant Professor of Statistics Flavia Sancier-Barbosa, and <strong>Haley Colgate &rsquo;20</strong>, have been working on the analysis since Summer 2019, when Colgate worked with Malmskog as a summer researcher with CC&rsquo;s <a href="">Student Collaborative Research Program</a> (SCoRe) to build a data-rich map of Colorado&rsquo;s electoral precincts.&nbsp;<strong>Austin Eide &rsquo;16</strong> assisted with the map building and <strong>Edgar Santos-Vega &rsquo;20, Jose Monge-Castro &rsquo;20</strong>, and <strong>Kadin Mangalik &rsquo;20</strong> worked on related research.&nbsp; The research team generated millions of random reasonable districting plans for Colorado and modeled the outcome of elections with these plans using real 2018 voting data.&nbsp;Their work employed new mathematical and statistical techniques in the area and examined the interplay of various fairness criteria in Colorado&rsquo;s Amendments Y and Z.</p> <p>The U.S. Constitution mandates that all states must draw new maps in 2021, and people across the country are looking for ways to ensure that the new maps are fair.&nbsp; Colorado passed new laws in 2018 changing the way the maps will be drawn for the U.S. House and state legislative districts. These laws create an independent commission to choose the maps, a process for public input, and forbid partisan gerrymandering, Malmskog says.</p> <p>In addition to Colorado College, the symposium is sponsored by<strong> </strong>the League of Women Voters of Colorado and the Interdisciplinary Research Institute for the Study of (in)Equality (IRISE) at the University of Denver. Dr. Cheri Colter of IRISE is a contributing organizer of the symposium.</p> <p>Participants can <a href="">join on Zoom</a> or <a href="">stream on Facebook Live</a> through League of Women Voters Colorado, and can stay for the whole day or log on only for what matters most to them.&nbsp; A full <a href="">schedule of speakers and topics</a> is available and segments will be recorded and available to stream after the event.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> Jerrell Cockerham ’21 Receives Goldwater Scholarship Wed, 15 Apr 2020 11:00:00 MDT <p><strong>Jerrell Cockerham &rsquo;21</strong> is one of two Colorado College students and one of 396 college students from across the United States to be named a <a href="">2020-21 Goldwater Scholar.</a></p> <p>The prestigious Goldwater Scholarship is given annually to sophomores and juniors who intend to pursue careers in the natural sciences, mathematics, and engineering.</p> <p>Cockerham, a <a href="">mathematics</a> major from Los Angeles, says, &ldquo;It&rsquo;s always pleasing to receive recognition for hard work. I have made numerous efforts since arriving at Colorado College to provide myself with a solid footing for transitioning into graduate education. Applying for the Goldwater was one such effort; it serves as a clear demonstration of my dedication to excellence in academia.&rdquo;</p> <p>Cockerham had been studying at McDaniel College in Hungary through the Budapest Semesters in Mathematics&nbsp;program until the Coronavirus outbreak. The coursework is primarily mathematical and conducted in English by Hungarian professors.</p> <p>He also was accepted at the MIT Summer Research Program (MSRP) this summer. MSRP began in 1986 as an institutional effort to address the issue of underrepresentation of African Americans, Mexican Americans, Native Americans, and Puerto Ricans in engineering and science in the United States.</p> <p>When that program was canceled due to the Coronavirus, the renowned REU SMALL at Williams College invited him to participate in their program in lieu of MIT. The SMALL Undergraduate Research Project is a nine-week residential summer program in which undergraduates investigate open research problems in mathematics.</p> <p>Cockerham was one of 1,343 natural science, engineering, and mathematics students nominated by 461 academic institutions to compete for the 2020 Goldwater scholarships. Of this year&rsquo;s scholars, 50 are mathematics and computer science majors, 287 are majoring in the natural sciences, and 59 are engineer majors.</p> <p>Goldwater Scholars have impressive academic and research credentials that have garnered the attention of prestigious post-graduate fellowship programs. Goldwater Scholars have been awarded 93 Rhodes Scholarships, 146 Marshall Scholarships, 170 Churchill Scholarships, 109 Hertz Fellowships and numerous other distinguished awards such as NSF graduate research fellowships. The award covers the cost of tuition, fees, books, and room and board up to a maximum of $7,500 per year.</p> <p>&nbsp;</p> <p>&nbsp;</p> Robotics & Computer Vision Course Engineers Problem Solving Students Tue, 27 Aug 2019 00:00:00 MDT <p>By <strong>Laurie Laker &rsquo;12</strong></p> <p><strong></strong>&ldquo;Robotics and Computer Vision isn&rsquo;t actually about the machines, it&rsquo;s far more about problem solving,&rdquo; explains CC Associate Professor of Mathematics and Computer Science Matthew Whitehead.</p> <p>The objective of Whitehead&rsquo;s Summer Session Block B class, Topics in Computer Science: Robotics and Computer Vision, is to encourage student creativity and innovation in a skill-gleaning and problem-solving structure. Students propose a final project on their own, and all exercises in class are hands on with programming and experimentation. In the first week, students are programming a two-wheeled robot to accomplish simple tasks like driving along a wall, finding a way through a maze.</p> <p>The class is an expanded and updated version of previous classes that he and Professor Emeritus Steven Janke have both taught over a number of years.</p> <p>&ldquo;I wanted to elaborate and expand what we&rsquo;d done before, and a summer class here at CC is an opportunity to incorporate a lot of old ideas into a new, more rigorous block,&rdquo; Whitehead says.</p> <p>&ldquo;Making the class a 300-level course gave us the chance to include more AI (artificial intelligence) and machine learning work, which we&rsquo;d been unable to do previously, and of course with an upper-level course the students are more proficient in the material, so we&rsquo;re open to deeper ideas and more challenging topics.&rdquo;</p> <p>&ldquo;Because CC students think big, I try to help the class manage expectations somewhat. The simpler side of the final project should be to take a robot, and the computer vision algorithm, and do something cool!&rdquo; says Whitehead.</p> <p>&ldquo;I suppose one of the unintentional learning objectives from the class would be managing your time expectations &mdash; the Block Plan runs at such a pace that not all of the great programming ideas can be done.&rdquo;</p> <p>Students in class aren&rsquo;t simply programming, they&rsquo;re working with hardware &mdash; from assembly to testing. That facility and skill-based learning opportunity makes the class unique &mdash; especially for undergraduates. There are collaborative elements of the syllabus, as well, where students work on the programming subsystems together, discuss the ethics of robotics, and the impact that automation has on employment and economic futures.</p> <p>&ldquo;For a computer science major like me, this class is extremely interesting. I have never had the chance to work with robots before, to see that aspect of computer science, so it&rsquo;s been really insightful and humbling how the software and hardware have to mesh,&rdquo; says <strong>Clifford Chirwa &rsquo;20</strong>, a Computer Science major and rising senior.</p> <p>&ldquo;In my first year at CC, I took an Introduction to Computational Thinking class, which gave me the tools of interacting with machines, but also the freedom to create whatever you want &mdash; that&rsquo;s been my motivation for continuing in the field.&rdquo;</p> <p>The class presents CC students with incredible access to skill acquisition opportunities as well as a space to learn from failure.</p> <p>&ldquo;To use problem-solving as creativity, with the access we have to so many tools and experience &mdash; it&rsquo;s about the way we approach and think through problems rather than how we solve them specifically,&rdquo; Chirwa says.</p> <p>Summer classes at CC operate on the same pace and rigor of the Block Plan as the regular school year, but summer on campus adds a more close-knit community element to the learning and social environment, explains <strong>Tian Lee &rsquo;20</strong>, a computer science major aiming to work in software engineering after graduating.</p> <p>&ldquo;Being a rising senior, I know a lot of people on campus and there&rsquo;s definitely a community you associate with while here for summer. The pace outside of class helps you learn more effectively while you&rsquo;re in class,&rdquo; he explains.</p> <p>&ldquo;Out of all my classes at CC, the hardware aspect of this course has been the hardest &mdash; traversing the maze with different hardware housing all different materials, it required a debugging process that could be pinpointing anything,&rdquo; Lee adds.</p> <p>From debugging software to demystifying chemistry, <strong>Paul Price&rsquo;s &rsquo;20</strong> interest in the class comes from both a personal and professional focal point.</p> <p>&ldquo;It&rsquo;s the direction we&rsquo;re heading in, with robotics and computer vision, and in the way we use that technology &mdash; in everything from business to our personal data. There&rsquo;s a basic understanding of how we function, how we deal with a huge amount of data, that&rsquo;s got to be learned through processes like these in class,&rdquo; explains Price, a computer science major.</p> <p>&ldquo;Programming can be incredibly frustrating &mdash; after the 50<sup>th</sup> time of unplug and reprogram, for example &mdash; but it&rsquo;s great to see that work develop over time, and gaining an understanding of how that process works makes it easier the more often we do it.&rdquo;</p> <p>Price&rsquo;s professional focal point is a virtual reality startup and 2019 Big Idea finalist called Infinite Chemistry, which he is launching alongside fellow students <strong>Prakhar Gautam '20</strong>, <strong>Pietro Giacomin '20</strong>, and <strong>Kochi Nakajima '20</strong>.</p> <p>&ldquo;It&rsquo;s a software and virtual reality platform that changes the way students learn chemistry,&rdquo; Price explains. &ldquo;It allows people to create videos to demonstrate reactions, the step-by-step process of chemistry.&rdquo;</p> Professor Emeritus of Mathematics George Simmons Passes Away Wed, 07 Aug 2019 13:30:00 MDT <p>Colorado College Professor Emeritus of Mathematics George Simmons passed away Tuesday, Aug. 6, in Colorado Springs. He was 94 years old.<br /><br />Simmons taught at CC from 1962-90.&nbsp;In his long academic career, he also taught at Williams College, the University of Rhode Island, the University of Maine, Yale University, and the University of Chicago before arriving in Colorado Springs.</p> <p>In his work in mathematics, he studied Banach algebras for his dissertation work at Yale and he focused his future mathematical work in classical analysis.&nbsp;Simmons was well known for delivering his lectures in ways which were engaging for students, and he used a writing style in his field which earned him a worldwide reputation for clear and precise instruction.&nbsp;Simmons&rsquo; brilliant teaching also was supported by his dedication to writing of texts such as:</p> <ul> <li>&ldquo;Introduction to Topology and Modern Analysis&rdquo;&nbsp;(1963)</li> <li>&ldquo;Differential Equations with Application and Historical Notes&rdquo;&nbsp;(1972, 1991 (2nd ed.)</li> <li>&ldquo;Precalculus Mathematics in a Nutshell&rdquo;&nbsp;(1981)</li> <li>&ldquo;Calculus with Analytic Geometry&rdquo;&nbsp;(1985, 1996 (2nd ed.)</li> <li>&ldquo;Calculus Gems&rdquo;&nbsp;(1992)</li> </ul> <p>&nbsp;A memorial service will be held at a later date.</p> Second Team Takes Honorable Mention in International Math Contest Mon, 14 May 2018 12:30:00 MDT <p>A team consisting of <strong>David Cui &rsquo;19,&nbsp;Xinling Dai &rsquo;20,</strong> and <strong>Vladimir Vintu &rsquo;20</strong> is the second Colorado College team to receive an honorable mention in the annual Mathematical Contest in Modeling. The event took place earlier this spring with 10,670 teams competing worldwide. Students chose one of three modeling problems, and had four days to work on a solution.</p> <p>Assistant Professor of Mathematics and Computer Science Beth Malmskog, who coached the team, notes that the competition asks students to create a mathematical&nbsp;model of a real-world situation,&nbsp;starting from an open-ended prompt. &nbsp;</p> <p>Cui,&nbsp;Dai, and Vintu selected the second problem, which addressed language transference, cross-influence, and survivability in the age of sophisticated digital communications. The problem was positioned in context of a large multinational service company seeking to identify potential locations for offices. Teams were asked to mathematically model the evolution of language speaker densities for 10 major languages as influenced by populations movement trends and digital communications to predict where offices should be placed and what languages in addition to English should be resourced with fluent speakers.</p> <p>&ldquo;Doing well requires&nbsp;strong mathematical skills and hard work, but also real creativity,&rdquo; Malmskog says. &ldquo;David,&nbsp;Vladi, and&nbsp;Xinling&nbsp;did a wonderful job in the competition. &nbsp;Based on past data, they modeled the changing&nbsp;numbers of speakers of the world&rsquo;s&nbsp;most spoken languages. Using their model, they then&nbsp;predicted&nbsp;how the prevalence of these languages&nbsp;will change in coming years. &nbsp;Their model included the influences of&nbsp;population growth, immigration, and cultural factors, and looked at both first- and second-language speakers.<br /><br />&ldquo;I was really impressed,&rdquo; she says.</p> <p>&ldquo;I knew what I was getting into, but perhaps I did not fully realize it back then,&rdquo; says Vintu. &ldquo;Four days straight, working on one single model: no distractions, all resources available, no time to lose and a great amount of excitement. The Mathematical Competition in Modeling was, simply put, an incredible experience, and the short time that we had to come up with models made it even better. It is diamonds that are made under such great pressures, which is the reason why, in my opinion, having such a short amount of time to put such a project together makes each model in the competition unique. This year, I am pleased that my team and I managed to finish the competition on time and also receive an Honorable Mention. For next year, I have even bigger plans!&rdquo;</p> Team Takes Honorable Mention in International Math Contest Wed, 09 May 2018 10:30:00 MDT ]]> <p>The annual Mathematical Contest in Modeling took place earlier this spring with more than 10,600 teams worldwide competing, and the Colorado College team comprised of <strong>Sohair Abdullah &rsquo;19, Nick Crews &rsquo;18,</strong> and <strong>Jack Schrott &rsquo;19</strong> was one of two CC teams to receive an honorable mention.</p> <p>Students may choose one of three open-ended modeling problems, and have four days to work on a solution in teams of up to three students. Abdullah, Crews, and Schrott, coached by Associate Professor of Mathematics and Computer Science Andrea Bruder, chose Problem A, which involved high frequency radio transmissions that exhibit multiple hopping behavior due to surface and atmospheric conditions.<br /><br />&ldquo;Teams were asked to identify variables and construct a mathematical model to determine the maximum number of hops a transmission could make before the signal dropped below a maximum usable frequency over a calm ocean, a turbulent ocean, and rugged terrain,&rdquo; says Bruder.</p> <p>&ldquo;These are open-ended&nbsp;problems that do not have one single &lsquo;right answer.&rsquo; There's a lot of room for creativity and outside-the-box approaches,&rdquo; says Bruder. &ldquo;The teams had to take lots of material and make sense of it to&nbsp;become experts on their topics within hours. Then they made certain simplifying&nbsp;model assumptions to come up with a mathematical description of the problem, also known as&nbsp;the model, which allowed them to draw conclusions about the original problem.&rdquo;</p> 3 Seniors to Present Wildfire Modeling Poster at Conference Mon, 05 Mar 2018 10:45:00 MST ]]> <p>A poster by three Colorado College students has been accepted for presentation at the 22nd annual Posters on the Hill, to be held April 17-18 in Washington, D.C. Only 60 posters were accepted from the more than 400 applications received for the conference, which is sponsored by the Council on Undergraduate Research.</p> <p><strong>Anna Hessler &rsquo;18, </strong>a computer science and Spanish major from Denver, <strong>Nick Crews &rsquo;18</strong>, a computer science and physics major from Girdwood, Alaska, and <strong>David Radke &rsquo;18</strong>, a computer science major and discrete math minor from Orinda, California, will present &ldquo;Using Artificial Neural Networks to Predict Wildfire Growth.&rdquo;</p> <p>In a letter to the organizers recommending the poster, Assistant Professor Matthew Whitehead and Visiting Professor Daniel Ellsworth, both with CC&rsquo;s Department of Mathematics and Computer Science, noted that wildfires are extremely dangerous and costly. &ldquo;The US Forest Service alone spent more than $2 billion on firefighting efforts in 2017,&rdquo; the submission said. &ldquo;The research done in &lsquo;Using Artificial Neural Networks to Predict Wildfire Growth&rsquo; aims to substantially improve fire control efforts by providing better estimates for fire growth than currently available models. If successful, this work will help to reduce the time to contain wildfires, better predict where evacuations may be needed, and support improved simulations for use in training.&rdquo;</p> <p>The students&rsquo; model was trained on historical weather data, historical fire perimeters, digital elevation models, and historical satellite imagery. After evaluating this vast quantity of historical data, it is able to extract trends and patterns, so that given a new input of weather data and an updated state of a fire, it is able to predict the fire perimeter for the next day.</p> <p>&ldquo;We realized exactly how relevant this project could be when we saw the physical impacts of wild fires on communities, especially in recent years,&rdquo; says Hessler.</p> <p>Radke developed the poster idea after working on a research project at UC Berkeley last summer that focused on the effects that natural disasters could pose to California&rsquo;s fuel transportation infrastructure (roads, pipelines, refineries, etc.) through 2100. &ldquo;We used many different kinds of software on the project, including pre-existing fire modeling software,&rdquo; Radke says. &ldquo;Accuracy with some of these models was always in question, and with my senior capstone fast approaching, I decided I wanted to build a piece of software that could better model the spread of wildfires. After arriving on campus, I ran the idea by Nick and Anna, and after a couple days of brainstorming, we decided on this project. Using an artificial neural network to map wildfire is an approach that hasn&rsquo;t really been explored, and we thought it would be a really cool project moving forward.&rdquo;</p> <p>A neural network is a mathematical model of how the brain works, with &ldquo;neurons&rdquo; connected to each other with &ldquo;synapses,&rdquo; says Crews. When one neuron is &ldquo;stimulated&rdquo; by an input, it stimulates all its neighbors. &ldquo;By connecting them in a network, you can pass an input signal into one side of the network and an output signal comes out the other side,&rdquo; he says. &ldquo;They are useful because you can &lsquo;train&rsquo; them, by feeding them good examples of input/output pairs; for example, what the weather/fire conditions were the day before, and what they were the following day, and the network is able to update itself so it can emulate those predictions.&rdquo;</p> <p>Helping with the project was Matt Cooney, GIS&nbsp;specialist in the newly renovated Tutt Library GIS lab. &ldquo;He certainly helped a lot early on when we were needing to gather the remotely sensed data for all of our fire locations and format them so we could export them to our neural network,&rdquo; says Crews.<br /><br />The students also gathered historical weather data from the National Oceanic and Atmospheric Association, satellite imagery and Digital Elevation Models from the USGS National Map, and fire perimeters from the USGS GeoMAC database.</p> <p>In the submission, Whitehead and Ellsworth also note that &ldquo;machine learning techniques are an active and important research area in computer science. Deep artificial neural networks have been shown to have strong classification performance when working with large collections of scientific data and visual information. This project harnesses the power of convolutional neural networks to predict wildfire growth in an automated fashion. A successful model capable of accurately predicting the spread of wildfires would be an important result in applied machine learning research because of the novel dataset being tested along with the immediate practical applications.&rdquo;</p> Teddy Corwin ’17 Receives Fulbright ETA to Germany Mon, 01 May 2017 10:00:00 MDT <p><strong>Teddy Corwin &rsquo;17</strong>, a Colorado College mathematics and economics major and German minor, has received a Fulbright English Teaching Assistantship (ETA). He is the second CC senior to receive the prestigious award this year.</p> <p>Corwin will be teaching at a primary school in Rheinland Pfalz, a state in western Germany, during the 2017-18 academic year. He spent the fall semester of his sophomore year studying in L&uuml;neburg, Germany, and says despite his German ancestry, he had little knowledge of German culture.</p> <p>&ldquo;Having mostly experienced Third World countries before studying in Germany, I recall being surprised at how distinct Germany and the U.S. were, given their&nbsp;similar levels of development and economic power,&rdquo; he says. &ldquo;I began using Germany as a point of reference when thinking about problems I saw in the&nbsp;U.S. government, and doing so made me all the more curious about how Germany became what it is today.&rdquo;</p> <p>Corwin, originally from Hickory, North Carolina, says he hopes to learn alongside his students, building their English skills, improving his German, and studying the economic culture that enables Germany to maintain stability despite immense outside pressure.</p> <p>The Fulbright ETA award also is intended to facilitate cultural ambassadorship, so the teaching assignment is only half of the appointment. Grantees also propose a plan to engage the community outside a classroom, and Corwin selected the cooking and&nbsp;sharing of meals.</p> <p>&ldquo;I chose this route not only because it allows the exchange of cuisine, a powerful cultural aspect, but also because bonding over meals was instrumental in my home life,&rdquo; he says. &ldquo;As my mother was a chef and my father manufactured dining room chairs, dinner was sacred in more ways than one.&rdquo;</p> <p>Corwin credits three people in particular with helping him receive a Fulbright English Teaching Assistantship: His cousin, who received an ETA almost 10 years ago and encouraged him to apply; CC Fulbright Program Adviser Roy Jo Sartin, who provided feedback and support during the process; and Associate Professor of Comparative Literature Bill Davis, Corwin&rsquo;s German minor advisor and a German Fulbright alum who served as a reference.</p> <p>Colorado College had <a href="">five students who were named Fulbright semifinalists</a> this year. In addition to Corwin, <a href=""><strong>Sidharth Tripathi &rsquo;17</strong></a> went on to receive a Fulbright ETA.</p> Melissa Jay ’16 Awarded NSF Graduate Research Fellowship Wed, 12 Apr 2017 15:00:00 MDT <p><strong>Melissa Jay &rsquo;16</strong>, who graduated from Colorado College <em>cum laude</em> with a BA in mathematics, has received a National Science Foundation Graduate Research Fellowship. She is one of six recent CC graduates to receive the award. Jay also <a href="">was named a Goldwater Scholar</a> while a junior at Colorado College.</p> <p>Currently she is working for a healthcare analytics start-up company in the San Francisco&nbsp;Bay Area. In August she will start work toward a Ph.D. in biostatistics at Harvard University&rsquo;s T.H. Chan School of Public Health.</p> <p>&ldquo;I'm interested in developing statistical methods to analyze clinical trial results when&nbsp;there are&nbsp;missing outcome&nbsp;data. I&rsquo;m particularly interested&nbsp;in cancer clinical trials and&nbsp;research,&rdquo; says Jay.&nbsp;&ldquo;One reason I'm attracted to Harvard&rsquo;s program is its location in the Longwood Medical Area in Boston. I&rsquo;ll have the opportunity to work with collaborators at the Dana-Farber Cancer Institute or at a&nbsp;nearby hospital such as Brigham and Women&rsquo;s,&nbsp;the Beth Israel Deaconess Medical Center,&nbsp;and&nbsp;Mass General, on current studies in public health and medicine.<br /><br /> &ldquo;I&rsquo;m&nbsp;also&nbsp;excited to gain statistical consulting experience, so I can help scientists on campus and in the community design their&nbsp;clinical trials,&rdquo; she says.<br /><br />Jay&rsquo;s work this past year with the healthcare analytics company involved developing&nbsp;predictive algorithms for sepsis and patient instability using&nbsp;machine learning.<br /><br />&ldquo;Through this experience, I've had the opportunity to write articles&nbsp;for medical journals, analyze patient data, and develop ideas for grants.&rdquo; Jay says. &ldquo;It has been really exciting to work with a team that uses&nbsp;statistics with the vision of&nbsp;improving&nbsp;patient care&nbsp;and has been a great experience for me before starting&nbsp;graduate&nbsp;school.&rdquo;</p> Kaitlyn Martinez ’15 Receives NSF Graduate Research Fellowship Mon, 03 Apr 2017 10:45:00 MDT <p><strong>Kaitlyn Martinez &rsquo;15</strong>, who graduated from Colorado College <em>cum laude</em> with a degree in mathematics, has received a <a href="">National Science Foundation Graduate Research Fellowship</a> to support her graduate work at the Colorado School of Mines, where she is a Ph.D. candidate in Computational and Applied Mathematics.</p> <p>Martinez, of Lakewood, Colorado, was one of only one of 12 math biologists to receive the fellowship this year.</p> <p>Her thesis work is on mathematical models for epidemiology, specifically developing new models and analysis methods for the spread of infectious diseases. &ldquo;Currently I am working on a partial differential equation model for the spread of Ebola,&rdquo; Martinez says. &ldquo;I am developing methods for incorporating stochastic (random) behavior into the models and analysis techniques for the spatial models necessary to properly characterize the disease.&rdquo;</p> <p>At Colorado College, Martinez&rsquo;s senior thesis was on modeling the spread of bullying in children, which she worked on with Associate Professor of Mathematics Andrea Bruder.</p> <p>The NSF Graduate Research Fellowship Program recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines who are pursuing research-based master&rsquo;s and doctoral degrees at accredited United States institutions. It is a five-year program that includes three years of a $34,000 stipend for research as well as tuition coverage. During the 2017 awards cycle, the NSF received more than 13,000 applications and granted 2,000 fellowships.</p>