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:
Organized a tutorial on Deep Search Relevance Ranking in Practice [Website] at KDD 2022.
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.:
Science Daily:Big data, better care for chronic kidney disease patients
CKD News: Analysis of Merged Electronic Health Records Aims to Improve CKD Patient Care
Big Data, Better Care for Chronic Kidney Disease Patients - UD computer scientists team with clinicians to improve treatment and clinical outcomes
UDaily:Big data, better care for chronic kidney disease patients