Senior Research Scientist @Netflix
(Search and Recommendation Algorithms)
Adjunct Faculty at Data Science Institute @UDel
Past: Senior Applied Scientist (Tech Lead Recommender Systems) @Etsy
My research focus on developing recommender systems and search algorithms for large scale platforms [Video] [Video] [Video]. PhD research focused on Machine Learning applications in healthcare to provide personalized medical care. [Video]
Organizer:
Organized a workshop on Personalization and Recommendations in Search (PaRiS) three years [Website] at SIGIR 2024, TheWebConf 2023, WSDM 2022.
Organized a tutorial on Deep Search Relevance Ranking in Practice [Website] at KDD 2022.
Program Committee:
PC Member of RecSys, WSDM, TheWebConf; Reviewer of several conf and journals including BMC Medical Informatics and AMIA
Publications and Talks: [For complete list click here]
1) M. Bhattacharya*, Vito Ostuni*, S. Lamkhede. Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). In Proc. of RecSys.
2) Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede. IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning. arXiv link.
3) M. Bhattacharya, S. Lamkhede. Augmenting Netflix Search with In-Session Adapted Recommendations (link). In Proc. of RecSys 2022.
4) M. Bhattacharya, A. Barapatre. Query as Context for Item-to-Item Recommendation. In Proc. of RecSys 2020.
5) R. Louca*, M. Bhattacharya*, D. Hu, L. Hong. Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. In Proc. of RecSys.
6) M. Bhattacharya, C. Jurkovitz and H. Shatkay. Co-occurrence of Medical Conditions: Exposing Patterns by Topic-Modeling of SNOMED Codes. Journal of Biomedical Informatics. 2018; 82: 31-40 .
7) M. Bhattacharya, C. Jurkovitz and H. Shatkay. Chronic Kidney Disease Stratification using Office Visit Records: Handling Data Imbalance via Hierarchical Meta-Classification. Journal of BMC Medical Informatics and Decision Making. 2018; 18 (Suppl 4), 35-44
8) M. Bhattacharya, D. Lu, P. Lingamaneni, et al. Identifying Ventricular Arrhythmia Cases and their Predictors by Applying Machine Learning Methods to Electronic Health Records of Hypertrophic Cardiomyopathy Patients. The American Journal of Cardiology. 2019; 123(10), 1681-1689
Honors and Awards: [For complete list click here]
Hosted the 7th Heidelberg Laureate Forum opening ceremony in Heidelberg, Germany (Video)
Heidelberg Laureate Forum Finalist (2018)– Selected to be among the top 100 young computer scientists worldwide participating in the 6th Heidelberg Laureate Forum, following a rigorous selection process by the scientific committee of the HLF Foundation, and ORAU and NSF (Article)
Frank A. Pehrson Graduate Student Award for Outstanding Computer Science Research (2018) – Monetary award given annually to a CISC PhD student in recognition of his/her scientific research and potential for future success.
Doctoral Fellowship Award (2017-18) - Awarded by the University of Delaware through a competitive selection process from candidates nominated by individual departments
Lauri Pfeffer Shinn Memorial Award (2017) – Monetary award given annually to a female student in recognition of her contribution to the department, her academic honors and achievements
Industry Experience: [For a complete list click here]
Currently working as a Senior Research Scientist at Netflix Research
Before this worked as a senior data scientist at Etsy, a two sided marketplace
Also have 3 years of software engineering experience in large corporations