A pdf version is available here: click to open or directly download

Shashank Kumar Roy

Current Affiliation

Institution Lab-STICC, IMT Atlantique, Technopole-Brest, France.
Position Postdoctoral Researcher, Deeplearning for Ocean Data Assimilation
e-mail shashank.roy@imt-atlantique.fr, shashankroy1997@gmail.com
linkedin linkedin.com/in/shashankroy/
instagram dr_roy_sciphy.ai Office address K01-223A, Department of Mathematics and Electrical Engineering, IMT Atlantique, Technopole Brest, France.

Education

Doctor of Philosophy in Physics | July 2020- Jan 2024, Awarded 2025
Thesis link: “A study of dynamical instability and filter stability using ensemble Kalman filter”
International Centre for Theoretical Sciences, TIFR Bangalore, India

Masters in Physics, Coursework Interated-PhD | CPI 70.8 | 2017-2020 July
International Centre for Theoretical Sciences, TIFR Bangalore, India

Bachelors in Physics ( Honors ) | 84 % | 2014-2017
University of Delhi, Ramjas College, New Delhi, India

Intermediate in Science ( CISCE ) | 95.6% |2012-2014
Denobili School Mugma, Mugma, Dhanbad, Jharkhand, India

Seminars/ Talks

Automatic differentiation for 4DVar: some results in Pytorch with qg-model Space Application Center, ISRO, Ahmedabad, India. – March, 2025.

Workshop lecture: AI for Data Assimilation - 4DVar and 4DVarNet for Ocean dataset National Atmospheric Research Laboratory, Department of Space, Gadanki, India. – Jan 2025.

4DVarNet: A neural network model for data assimilation Department of Data Science, Indian Institute of Science Education & Research, Pune, India. – Feb 2025.

Publications

Shashank Kumar Roy, Amit Apte. Reconstructing Covariant Lyapunov Vectors from partial and noisy observations using Data Assimilation https://doi.org/10.5194/egusphere-2023-2168

Mandal P, Roy SK, Apte A. Probing robustness of nonlinear filter stability numerically using Sinkhorn divergence. Submitted to Physica D, arxiv link-https://arxiv.org/abs/2208.10810

Mandal P, Roy SK, Apte A. Stability of nonlinear filters-numerical explorations of particle and ensemble Kalman filters. In: 2021 Seventh Indian Control Conference (ICC) IEEE; 2021. p. 307–312, https://doi.org/10.1109/ICC54714.2021.9703185

Research Experience

Winter Project | International Centre for Theoretical Sciences | October 2019- Dec 2019 Sequential estimation of conditional distribution of the state of a 40-dimensional nonlinear dynamical system with partial obsevrations via Kalman Filtering.

Hackathon | A GAN model for distribution of Sea Surface Temperature| Oct – Dec 2022 Ecole Polytechnique, BNP Paribas, Fondation de l’Ecole polytechnique and Mercator Ocean Objective: Modeling distribution of the sea surface temperaure at 6 different locations and interpolate to a new location using a GAN to perform regression.

Hackathon | LSTM model to predict spatial time series for climate model emulation |7- 14 Sep 2021 3rd NOAA AI Workshop - Climate Informatics Joint Hackathon
Objective: Predict annual mean global distributions of temperature and precipitation given emissions and concentrations of key anthropogenic climate forcing: SO2, BC, CH4, and CO.

Summer Project | International Centre for Theoretical Sciences | June 2018 -Aug 2018 Analytical calculation of Stokes’ flow inside a Sphere via Vector Spherical Harmonics. generated by given surface flow. A python package mayavi was used to create 3D visualizations of the flow.

Resreach Internship | University of Delhi Innovation Project | Oct 2015 - Nov 2016 Project titled" An Interdisciplinary Study of Light Pollution in Indian Context (Extension)", was collection, analysis and quantification of light pollution from google light pollution map.

Teaching Experience

Teaching Assistant (Paid Independent contract), Computational tools for Climate Science,Climatematch Academy | July 2023| Supervising & assisting fellow students. Conducting sessions towards quantitative analsis of historical climate data using Python & Xarray. Engagging in ideas & discussions of underlying concepts.

Teaching Assistant, Course on Time Series analysis, Data Science Department IISER Pune, India | Jan-April 2023| Instructor: Dr. Tulsi Ram Reddy view
Curating Jupyter notebooks for demonstrations and taking tutorial sessions.

Freelance | Advanced Physics Subject Matter Expert | Chegg India | July 2020- July 2021 Solving physics problems at college and university level on an online platform.

Skills and Certifications

Scientific : Bayesian Data Assimilation | Ensemble Kalman Filtering | Monte Carlo Methods | Linear Algebra | Machine Learning | Deep Learning | Hidden Markov Models | Reinforcement Learning | Stochastic Processes | Quantum Computation | Stochastic Differetial Equations | Mathematical Modeling | Probability and Statistics | Nonlinear Dynamics

Technical competency : Linux | Python | Latex | html

Frameworks and Libraries : Pytorch | Tensorflow | Jax | scipy | sklearn | Hugo | git version control

Lincences and Certifications:

Past Achievements

A CV is the evidence that ..

Life must be understood backwards but lived forwards.

— Søren Kierkegaard (a 19th-century Danish philosopher)