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]. PhD research focused on Machine Learning applications in healthcare to provide personalized medical care. [Video]

Organizer:

  1. Organized a tutorial on Deep Search Relevance Ranking in Practice [Website] at KDD 2022.

  2. Organized a workshop on Workshop on Personalization and Recommendations in Search (PaRiS) [Website] at WSDM 2022

Program Committee:

PC Member of 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, S. Lamkhede. Augmenting Netflix Search with In-Session Adapted Recommendations (link). In Proc. of RecSys 2022.

2) M. Bhattacharya, A. Barapatre. Query as Context for Item-to-Item Recommendation. In Proc. of RecSys 2020.

3) R. Louca*, M. Bhattacharya*, D. Hu, L. Hong. Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. In Proc. of RecSys.

4) 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 .

5) 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

6) 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]

  • 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

Article about my PhD research project in Science Daily etc.: