After taking an Intro to Programming Languages class, Marilyn became interested in programming languages. Her teaching assistant participated in PL research and recruited her to their project. Over a period of two years starting in her sophomore year, Marilyn collaborated with her research advisor, who is also chair of the CS department at Tufts, Kathleen Fisher on research problems in Haskell optimization.
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Diego showcases the persistence and determination of a researcher. As an immigrant from Venezuela, finding financial support and resources during his academic pursuits has been difficult given the current status of his home country. This has created uncertainty at times, but Diego has been able to persevere. He balanced his studies with a full-time machine learning developer position.
Kimberly is in her final year of undergraduate studies at the University of Washington (UW), where she double majors in Computer Engineering and Mathematics. Within UW’s Paul G. Allen School of Computer Science & Engineering, she has been working with Professors Franziska Roesner and Tadayoshi Kohno on problems related to privacy and security, in particular, to identify and address the risks that future computer systems might raise before they become pervasive.
Andriy Mulyar, a proponent of supportive research environments, is currently pursuing a dual degree in Computer Science and Mathematics at Virginia Commonwealth University (VCU). His research journey began during his senior year in high school where he participated in a natural language processing project under Dr. Bridget McInnes through an outreach program coordinated by the Computer Science program at Andriy’s high school (CIT at Deep Run High School). The experience ignited an intrigue in machine learning which Andriy began to further explore in college.
Being a Hispanic woman in a STEM field presents different obstacles for many young women. At times, this means inability to find belonging, purpose, or passion in a discipline. In particular, this rings true within the bouts of undergraduate research. Sheila has broken down those barriers by diving in head first into an array of research activities. Sheila leveraged a positive meeting with two graduate students who were excited about their research in physics, which resulted in her exploration of research opportunities in computer science. Oftentimes, positive role models or helpful examples can trigger one’s shift into new pursuits.
Many graduate students do not have extensive undergraduate research experience and undergraduate students may find it difficult to identify research opportunities. Yet Eric found a welcoming community of researchers at the University of Southern California’s (USC) Viterbi School of Engineering. He recalls: “We [Faculty] worked together to select future research topics that I wanted to explore, including embodiment design in interactive robots, adaptive models for attention acquisition, and embodied gestures.” These opportunities are not very common among undergraduates at other schools and institutions, but Eric has taken advantage and began to develop his research profile.
As a first-generation, Latino college student, Andy Rosales-Elias defies the standard image of a computer science researcher. At a two-week science and math program preceding his first year at UC Santa Barbara, Andy recalls: “I remember one night hearing a cohort member talking on the phone to his parent, who was a professor at another university, about his research problem, and I couldn’t help but think that I was somehow inferior and had a huge disadvantage in terms of pre-existing knowledge and resources.”
As a high school student, Jalex attended the Canada/USA Mathcamp, a program where mathematicians teach five weeks of math classes to high school students. After the Mathcamp, Jalex was convinced to pursue research in mathematical logic, taking graduate courses in model theory and set theory upon arrival as a first-year student at Caltech.
Xuan Huang graduated from Bryn Mawr College with an undergraduate degree in Computer Science, and is currently a PhD student at the University of Utah studying Computer Graphics. A summer research internship influenced her decision to attend graduate school.
Being a curious high school student, Siddharth was part of the Robotics Team at Gunn High School, which compelled him to study Electrical Engineering and Computer Science at UC Berkeley. However, after getting introduced to Natural Language Processing, and being an avid reader, Sidd realized that he wanted to pursue both his interests – Computer Science and Literature together, and transferred to Brown University soon after his freshman year. Sidd is currently a senior at Brown, dual-concentrating in both Computer Science and the Literary Arts.