Sarthak Chatterjee
Merck & Co. Inc., Merck & Co Inc, Rensselaer Polytechnic Institute, Jadavpur University, MIT-IBM Watson AI Lab/Rensselaer Polytechnic Institute
0000-0002-4774-9436
About
I am an Associate Director of Data Science with the Global Medical and Scientific Affairs (GMSA) Quantitative Sciences Analytics Center for Excellence (ACE), focusing on oncology-specific projects.
Previously I was a Postdoctoral Fellow working with the Digital Clinical Measures (DCM) group at Merck within Translational Medicine. I was working at the intersection of data science, data analytics, and digital health, specifically using data from wearable devices and sensors in order to develop novel digital biomarkers to quantify the progression of Parkinson's disease.
I obtained my PhD from the Department of Electrical, Computer, and Systems Engineering (ECSE) at Rensselaer Polytechnic Institute, Troy NY, working with Prof. Sérgio Pequito of the Delft Center for Systems and Control, TU Delft, The Netherlands. My research was in the secure and resilient state estimation, control, and identification of fractional order dynamical systems. I was interested in the applications of the same to computational neuroscience and developing strategies for novel neurostimulation and neuromodulation technologies for neurodegenerative disorders, in particular, epilepsy. I also worked on the theory of optimization and time series analysis, using the former to develop novel iterative optimization algorithms.
During the course of my Masters degree, I worked with Prof. Wencen Wu, where I was interested in dynamics and automatic control, with applications in mobile sensor networks, autonomous systems and robotics. Specifically, my work was based on developing controllers for successful level curve tracking with 2 agents, avoiding the computationally expensive step of explicitly estimating the field gradient, and using both particle and unicycle models for the agents.
Employment
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Merck & Co. Inc. Associate Director of Data Science2023 - Present
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Merck & Co Inc Associate Scientist - Postdoctoral Fellow2021 - 2023
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MIT-IBM Watson AI Lab/Rensselaer Polytechnic Institute Graduate Research Assistant2020 - 2021
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Bosch Center for AI/Robert Bosch LLC Machine Learning Research Intern2020 - 2020
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Rensselaer Polytechnic Institute Graduate Research / Teaching Assistant2015 - 2021
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Nanyang Technological University Undergraduate Research Intern2014 - 2014
Education
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Rensselaer Polytechnic Institute Doctor of Philosophy2015 - 2021
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Rensselaer Polytechnic Institute Master of Science2015 - 2018
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Jadavpur University Bachelor of Engineering2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation Save
- On Learning Discrete-Time Fractional-Order Dynamical Systems Save
- Fractional cyber-neural systems — A brief survey Save
- IF: Iterative Fractional Optimization Save
- NEO: NEuro-Inspired Optimization—A Fractional Time Series Approach Save
- Analysis of a generalised expectation–maximisation algorithm for Gaussian mixture models: a control systems perspective Save
- Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy Save
- Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation Save
- A Modular Approach to Level Curve Tracking With Two Nonholonomic Mobile Robots Save
- Dealing with State Estimation in Fractional-Order Systems under Artifacts Save