I’m a Ph.D student in Data Science at Worcester Polytechnic Institute studying sequential representation learning, 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 using both clinical time series and sequences of notes, studying irregular time series, early classification, attributed document classification, and medical word embedding.
Please feel free to contact me with questions regarding my research or Data Science at WPI at email@example.com.
In my spare time, I enjoy rock climbing, cycling, reading (fantasy, science fiction, science fact), and music (playing guitar/violin and listen mainly to folk and indie rock).
- March 5, 2019: Paper Accepted - Our paper titled “Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining” was accepted to the IEEE International Conference on Biomedical and Health Informatics.
- 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.
- September 1, 2018: Internship - Beginning a part-time internship with UMass Medical School in the quantitative sciences department.
- August 02, 2018: REU Project 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.