News

• December 2, 2020: AAAI paper accepted - Our paper Semi-Supervised Knowledge Amalgamation for Sequence Classification was accepted at AAAI 2021!
• December 1, 2020 - I will be joining Microsoft next summer as a PhD intern on the AI platform team.
• November 29, 2020: Program Committee - I have been asked to serve on the program committee for CVPR 2021.
• October 21, 2020 - I will be volunteering at NeurIPS 2020 in December, see you “there”!
• October 20, 2020 - I am excited to announce our paper Learning Similarity-Preserving Meta-Embedding for Text Mining was accepted at IEEE BigData 2020!
• September 19, 2020 - I will be attending the Computational Sustainability Doctoral Consortium in October.
• September 1, 2020: Award - I am extremely grateful to have been awarded the CIKM Travel Grant this year from ACM. See you “there”!
• August 31, 2020: Program Committee - I have been asked to serve on the program committee for AAAI 2021.
• August 1, 2020: Award - I am extremely grateful to have been awarded the KDD Travel Grant this year from ACM and the NSF.
• July 17, 2020: CIKM paper accepted - Our paper Learning to Selectively Update State Neurons in Recurrent Networks was accepted at CIKM 2020!
• June 04, 2020: Talk at FSU
• May 15, 2020: KDD paper accepted - Our paper Recurrent Halting Chain for Early Multi-label Classification was accepted at KDD 2020!
• April 4, 2020: ACL paper accepted - Our paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? was accepted at ACL 2020!
• February 26, 2020: Award - Our paper at HEALTHINF this year was awarded best poster.
• December 20, 2019: Paper accepted - Our paper Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection was accepted for publication at HEALTHINF 2020.
• November 19, 2019: Talk at WPI - Presenting my recent work on Selective Neuron Activation in RNNs at our department meeting.
• October 16, 2019: Papers Accepted - Our papers titled “Patient-Level Classification of Clinical Note Sequences Guided by Attributed Hierarchical Attention” and “Learning Temporal Relevance in Longitudinal Medical Notes” were accepted to IEEE BigData 2019, acceptance 19%.
• September 16, 2019: Talk at University of Minnesota - Presenting our KDD paper at the University of Minnesota Workshop: Recent Progress in Foundational Data Science.
• August 19-20, 2019: Conference - Attending Big Data 2019 at Harvard University.
• August 3-8, 2019: Talk at ACM SIGKDD - I am happy to be attending KDD 2019 and presenting our paper this week!
• May 10, 2019: Talk at New England Machine Learning Day - Presented a poster titled “Adaptive-Halting Policy Network for Early Classification” at the New England Machine Learning Day at Northeastern University.
• April 29, 2019: Paper Accepted to ACM SIGKDD! - Our paper titled “Adaptive-Halting Policy Network for Early Classification” was accepted to KDD 2019, research track, acceptance 14%.
• April 16, 2019: Passed Research Qualifier - Passed my research qualifier, studying irregular multivariate time series classification.
• April 9, 2019: Best Poster Award - I was awarded first place in WPI’s annual interdisciplinary graduate research showcase.
• March 5, 2019: Paper Accepted to BHI - 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: Defended Master’s Thesis - I successfully defended my Master’s Thesis: Adaptively-Halting RNN for Tunable Early Classification of Time Series.
• September 1, 2018: Machine Learning Research 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. Their research manifested into a paper at the MIT URTC and their poster was presented at the REU Symposium in Washington, D.C.
• 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: Poster Presentation - 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: Talk at BIOSTEC - I presented our paper “Early Prediction of MRSA Infections Using Electronic Health Records” at HEALTHINF 2018 in Madeira, Funchal.
• December 12, 2017: Paper 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 to HEALTHINF - 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 at Northeastern University.
• June 23, 2017: Paper Accepted to ECML - 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.