Kimberly Villalobos Carballo
A fifth-year doctoral student, Kimberly’s research integrates optimization and machine learning tools to enhance the performance of conventional algorithms. She is passionate about healthcare applications, and much of her research has been inspired by collaborations with hospitals (including work with Hartford Hospital on predictive machine learning models for length of stay reduction and identification of life-threatening patient events) that aim to improve the quality of their services and operations.
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Yubing Cui
Yubing began her first year as a doctoral student after graduating in April from the University of Michigan with bachelor of science degree in math and computer science. As an undergraduate, she maintained 3.99 grade point average and earned a variety of math awards and merit scholarships. In addition to science, she is a music lover, with interests ranging from classical orchestra to Kpop.
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Lisa Everest
Lisa is a second-year doctoral student and her research integrates optimization and machine learning with applications in healthcare and special interest in prescription. She previously worked for three years as a quantitative analyst in Goldman Sachs' Special Situations Group in private asset management. She received bachelor’s degrees in mathematics and management from MIT. In her free time, she enjoys snowboarding, figure skating and baking.
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Carol Gao
Carol is a research fellow at MIT. She graduated from Smith College with a bachelor’s degree in mathematics and quantitative economics.
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Jiayi Gu
Jiayi is a second-year doctoral student with research interests that center around the synergy of machine learning and optimization in healthcare applications. She holds a bachelor's degree in industrial engineering and global health studies from Northwestern University, and is particularly interested in using holistic, data-driven approaches to address public health challenges.
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Emily Hahn
Emily is currently pursuing a master’s of business analytics degree at the MIT Sloan School of Management. She is interested in applying data analytics and machine learning to improve healthcare efficiency and effectiveness. Before arriving at MIT, she earned a bachelor of science in operations research at Cornell University.
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Rohan Kumar
A third-year undergraduate at Boston University, Rohan studies computer engineering. His academic experience has been in computer organization, algorithms and mathematics. His research experience thusfar has been in predictive models and optimization, both in topics regarding healthcare. He hopes to continue learning about the applications of AI in medicine. His hobbies include playing violin, playing and watching soccer, and reading.
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Yu Ma
A fourth-year doctoral student, Yu has already been collaborating with Hartford Hospital teams in such areas as rapid response and cardiovascular surgery. She has authored and co-authored research articles in such publications as Nature, Journal of the American Medical Association (JAMA) Surgery, International Journal of Radiation Oncology and Journal of Clinical Oncology Informatics. She was part of the original HAIM team that earned the Cognex prize at MIT’s Machine Intelligence for Manufacturing and Operations Symposium, and was the graduate student representative on the MIT committee for the use of humans as experimental subjects. In addition to her research, she loves to scuba dive.
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Gagik Magakyan
A native of Armenia, Gagik represented his country in numerous international math and computer science olympiads, earning several medals. He then pursued a bachelor's degree in mathematics from the University of Cambridge. His journey into AI began through internships and summer projects, including recent experience at Google X. He is in the first year of graduate studies at MIT, where he is excited to immerse in the field of operations research. Beyond academics, he is an avid soccer fan and long-standing supporter of FC Manchester City.
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Catherine Ning
Born and raised in Luxembourg, Catherine earned an integrated four-year master’s degree in engineering science at Oxford University, graduating in July 2023. Her master’s thesis was on mixed-integer programming and she has worked on a team designing an autonomous hospital robot for medicine delivery to help reduce medical waste. As she starts as a doctoral student in operations research this fall, she is excited to take part in HAIM and contribute to a better healthcare system in the future.
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Phevos Paschalidis
Phevos is a junior at Harvard University studying computer science. He has been working with Hartford Hospital for more than a year to apply interpretable machine learning techniques to prescribe the optimal valve type to minimize post-operative pacemaker risk during Transcatheter Aortic Valve Replacement (TAVR) procedures. His other research interests include theoretical computer science and reinforcement learning.
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Matthew Peroni
Matthew is a second-year doctoral student. His research is focused on building interpretable, multi-modal, and robust machine learning systems for high-stakes decision making, especially in the healthcare domain. Prior to graduate school, he worked in industry as a machine learning engineer for a healthcare AI start-up. He received his bachelor’s in mathematics and computer science from Cornell University.
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Vasiliki “Vassilina” Stoumpou
A second-year doctoral student, Vassilina grew up in Greece. She finished her five-year undergrad studies at the National Technical University of Athens in electrical and computer engineering, with a major in computer science. She worked at Tesla as an associate electrical design engineer before coming to MIT, where she is currently working on projects that focus on leveraging machine learning techniques in healthcare.
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Karl Zhu
Karl is a first-year master's degree student specializing in operations research. Before coming to MIT, he was a graduate research assistant in the University of Auckland (New Zealand) Department of Engineering Science, where he built a strong foundation in applying statistical and optimization models. His work earned the Best Presentation of the Young Practitioner’s Prize at the 2022 Operations Research Society of New Zealand conference. Karl holds a bachelor’s degree in engineering science from the University of Auckland.
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