I am an Electrical Engineer (Signal Processing) by formal education, an Applied Mathematician (Estimation and Control Theory) by action, and a Computational Oncologist (Super Specialty: Neuro and Thoracic Oncology) by passion. I am working with Amazon.com, Inc. as a Research Scientist II in the Advertising Measurement and Optimization team where I work on challenges in Causal Inference, Signal Processing & Optimization. In parallel, I am pursuing Certification Programs in Medicine at Harvard Medical School and Stanford Medicine specializing in Precision Oncology and Cancer Genomics.

In 2021, I obtained my Professional Certificate in Artificial Intelligence (with a focus in Natural Language Processing, Statistical Modelling and Graph Learning) from Stanford University. Prior to joining Amazon.com, Inc., I completed my M.S. in Electrical and Computer Engineering at Georgia Tech, Atlanta with a focus in Digital Signal Processing, where I was fortunate to work with Gari Clifford and Justin Romberg. Before that, I completed my B.Tech. in Electronics Engineering (Gold Medal) at VJTI, Mumbai, where I was involved in research with Rizwan Ahmed and Faruk Kazi.

Research Interests

My broad research interest lies in building Statistical Models and Algorithms which can efficiently perform Inference, Optimization and Learning. My key areas of focus are in Control Theory, Probabilistic Decision-Making, Systems Biology and Neuroscience. Besides these, I actively self-study subjects in Theoretical Surgery & Internal Medicine (Neurology). My prime hobby is ‘Thinking’ and I like to find algorithmic solutions to real-life problems by ‘kernelling’ them into the Mathematical World.

Get in Touch

As a researcher, I love to wear the hats of both a theoretician and a maker. I generally tend to minimize meetings; here’s an interesting perspective on what meetings mean for makers. If there’s anything you believe I can assist you with, I look forward to talking to you!

If you want to chat with me, please use this to find a time that works best for you.

Miscellaneous

To keep up with the tradition of my group, I setup this visitor counter by country starting Jan. 9, 2023. Thank you for visiting my website!

News

• September 2022 - I got accepted in the online cohort (HMX) of the programs on the Fundamentals and Specialities of Medicine at the Harvard Medical School (HMS) which starts in September 2022.

• April 2022 - I am promoted to a Research Scientist II in the Next Science Team of Customer Behavior Analytics at Amazon.com!

• August 2021 - I am back in the Advertising Measurement & Optimization Team at Amazon.com as a Data Scientist II!

• Januray 2021 - I am joining the Global Talent Management Science team (HR Analytics) as a Data Scientist II at Amazon.com!

• December 2020 - I am promoted to a Data Scientist II in the Advertising Measurement & Optimization Team at Amazon.com!

• April 2020 - I was surprised to see that I have a Google’s Knowledge Panel!

• January 2020 - I will be presenting my work on Adaptive Containerization for Microservice Deployment at the IEEE Consumer Communications & Networking Conference (CCNC), 2020 at Las Vegas, NV.

• December 2019 - I am presenting my work on Adversarial Defenses at the 21st IEEE International Symnposium on Multimedia (ISM), 2019 at San Diego, CA.

• July 2019 - I am joining Amazon.com as a Data Scientist in the Advertising Measurement & Optimization Team!

• August 2018 - I joined Amazon.in as an Applied Scientist Intern - Machine Learning in the India Machine Learning (IML) Team!

• May 2018 - I joined Dr. Dawn Song as a Visiting Student Researcher for the Summer at the University of California, Berkeley (EECS, Computer Science)!