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About Me

I am a 2nd-year Ph.D. student working in Statistical Machine Learning. I am advised by Prof. Sanmi Koyejo. Prior to joining the Ph.D. program, I worked at Adobe Research, India for two years. I have pursued integrated masters in Mathematics and Scientific Computing from IIT Kanpur, where I began my Machine Learning journey with Prof. Harish Karnick.

Ph.D. Research Internships

• (Summers’18) I spent summers’18 at the wonderful office of Microsoft Research, India, where I was mentored by Dr. Prateek Jain and Dr. Ayush Choure.

Prior to Ph.D.

• (June’15-July’17) I was a member of research staff at Adobe Research, India, where I mostly worked in Time Series Analysis and Recommendation systems (paper submitted) and also explored many areas including Augmented Reality, Natural Language Processing, and Visualization (paper in preparation). However, all the projects had Artificial Intelligence or Machine Learning in action.

• (Summers’14) I spent summers’14 at Adobe Research, India, where I worked on building a (recommendation) module that inspires creative artist to initiate new art work. Due to properiotery nature of the system, publishing papers was not easy; however, we filed 2 patents from this work.

• (Summers’13) At some point, I was really interested in Discrete Mathematics, especially, Combinatorics. For summers 2013, I got a wonderful opportunity to work with Dr. Jean-Marc Schlenker at the University of Luxembourg. Under his guidance, I published my first siginificant work in the European Journal of Combinatorics.

NEWS

• (October 2018) Our paper Clustered Monotone Transforms for Rating Factorization to appear in International Conference on Web Search and Data Mining.
• (May 2018) Presented our paper on Sparse Decomposition of Time Series at SIAM International Conference on Data Mining (SDM), 2018 held in San Diego, USA.
• (October 2017) Our paper on Enhanced Digital Marketing using Augmented Reality was presented by Dr. Atanu Sinha at International Symposium on Mixed and Augmented Reality (ISMAR), 2017 held in Nantes, France.

Teaching

• Teaching Assistant for CS 446: Machine Learning, Fall 2017