I’m a Ph.D student in Data Science at Worcester Polytechnic Institute studying machine learning for sequential data, advised by Prof. Elke Rundensteiner and Prof. Xiangnan Kong and collaborating with Cansu Sen in the Data Science Research Group.
My high-level interest is in mental models and their role in Artificial Intelligence. I am particularly interested in how we learn and curate our mental models and would eventually like to approach this representation learning problem through the lense of early childhood development. During my PhD so far, my research has involved the combination of Recurrent Neural Networks and some Reinforcement Learning techniques (which together loosely emulate human decision making). I have so far applied these techniques on modeling clinical decision making scenarios with high levels of uncertainty: noisy sensors, irregular multivariate time series, and early classification. My current trajectory is towards Model-Based Reinforcement Learning to focus more on computational mental models.
Please feel free to contact me with questions regarding my research or Data Science at WPI at firstname.lastname@example.org.
- Ph.D. Data Science, May 2021, Worcester Polytechnic Institute.
- M.S. Data Science, December 2018, Worcester Polytechnic Institute.
- B.A. Applied Mathematics, Minor in BioMathematics, 2016, SUNY Geneseo.
In my spare time, I enjoy rock climbing, cycling, reading (fantasy, science fiction, science fact), and music (I play guitar/violin and listen mainly to folk and indie rock).
- January 18, 2019: Workshop - Attended the Geometric Analysis Approach to AI Workshop at Harvard University.
- November 15, 2018: Master’s Thesis - Successfully defended Master’s Thesis: Adaptively-Halting RNN for Tunable Early Classification of Time Series.
- August 02, 2018: REU Mentoring Complete - Mentored two undergraduate REU students, resulting in one paper and one poster. They submitted a paper to the MIT URTC and their poster will be presented at the Research Experience for Undergraduates Symposium in Washington, D.C.
- June 15, 2018: Paper in Review - We submitted one paper on Early Classification of MRSA Infections to CCIS.
- May 30, 2018: Mentoring REU students - I am working with 2 undergraduate Research Experience for Undergraduates (REU) students this summer to develop a state-of-the-art model for classifying time series with missing values.
- April 30, 2018: AWARD - I was awarded the WPI Data Science Citizen Award for involvement and participation in the growth of the department.
- April 24, 2018: Presented On-going work - Poster presentation at the WPI Graduate Research and Innovation Exchange. We had three posters at this event, one of which won the People’s Choice Award.
- January 19, 2018: Presented Paper - I presented our paper “Early Prediction of MRSA Infections Using Electronic Health Records” at HEALTHINF 2018 in Madeira, Funchal.
- December 12, 2017: AWARD - Our paper, “Early Prediction of MRSA Infections Using Electronic Health Records”, was nominated for the HEALTHINF 2018 best student paper award.
- October 16, 2017: Paper Accepted - Our paper, “Early Prediction of MRSA Infections Using Electronic Health Records”, was accepted to HEALTHINF 2018 as a full paper.
- August 19, 2017: Conference - Attended Machine Learning for Healthcare (MLHC) 2017.
- June 23, 2017: Paper Accepted - Our paper, “CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining”, was accepted to ECML-PKDD 2017 as a full paper.
- May 2, 2017: AWARD - I was awarded the WPI Data Science Citizen Award for involvement and participation in the growth of the department.
- February 8, 2017: AWARD - Poster presentation with Cansu Sen at the WPI Graduate Research and Innovation Exchange, received the People’s Choice award.
- August 25, 2016 - Began Ph.D. at Worcester Polytechnic Institute, Worcester, Massachusetts.