March 2023 – Present: PhD in Physics
Georg-August-Universität Göttingen, Germany Advisor: Prof. Dr. Viola Priesemann. Thesis: Complex interactions of infectious disease and social dynamics.
August 2018 – September 2020: Master of Technology (M.Tech) in VLSI Design
University of Calcutta, Kolkata, India Thesis: High-speed VLSI Architecture for One Bit Transformation Based Fast Motion Estimation.
July 2015 – July 2018: Bachelor of Technology (B.Tech) in Radio Physics and Electronics
University of Calcutta, Kolkata, India Thesis: Variation of Threshold Current Density for a DH Laser.
March 2012 – June 2015: Bachelor of Science (B.Sc) in Physics
University of Calcutta, Kolkata, India Grade: First Class.
Research Experience
August 2026 – Present: Postdoctoral Researcher
Institute for Chemistry and Biology of the Marine Environment (ICBM), Oldenburg, Germany
May 2026 – Present: Postdoctoral Researcher
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany Focus: Epidemic Modeling.
Conducted independent research on complex human behavior during the COVID-19 pandemic using advanced data science techniques and statistical physics.
Developed and calibrated Bayesian models (PyMC) to infer causal links between non-pharmaceutical interventions and infection rates.
Analyzed large-scale, complex datasets to model future scenarios and assess health-related risks, contributing to the understanding of disease dynamics.
Implemented robust quality assurance pipelines for scientific data (ingestion, validation, reproducibility) using Python and SQL.
Collaborated in an interdisciplinary environment, presenting results to internal stakeholders and preparing scientific reports for publication.
March 2023 – May 2026: Research Associate / PhD Candidate
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
September 2022 – March 2023: Guest Researcher
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
Led simulations and predictive modeling tasks regarding COVID-19 intervention efficacy.
Applied machine learning techniques to identify patterns in infection data and ensure rigorous statistical validation of results.
Contributed to the development of reproducible analysis frameworks, ensuring algorithm transparency and scientific accuracy.
August 2020 – August 2022: Junior Research Fellow
Indian Institute of Information Technology Guwahati, Assam, India Focus: Network-based Epidemic Models.
Built predictive and network-based epidemic models, directly relevant to vector-borne disease dynamics and spreading processes.
Managed complex datasets using Python and MATLAB to validate dynamic hypotheses regarding virus propagation.
Coordinated research activities within the team, contributing to the publication of results in international scientific journals.
March 2020 – September 2020: Graduate Researcher
University of Calcutta, Kolkata, India
Assisted in basic research assignments across various projects.
Skills: data collection, basic computational skills, report writing.
Honors and Awards
Merit-based scholarship during B.Tech and M.Tech from the state government.
Topper of class in M.Tech (VLSI Design), University of Calcutta.
