Publications:
Shinde, P., Willemsen, L., Anderson, M., Aoki, M., Basu, S., Burel, J.G., Cheng, P., Ghosh Dastidar, S., Dunleavy, A., Einav, T. and Forschmiedt, J., 2025. Putting computational models of immunity to the test—An invited challenge to predict B. pertussis vaccination responses. PLOS Computational Biology, 21(3), p.e1012927.
Research:
Master's Thesis Report: Can Asymptomatic COVID positive patients spread Symptomatic Infections?
Summer 2020 Internship Report: On the Optimization of Information Rate Capacity of the Poisson Channel with Binary Markov Input
Summer 2019 Internship Report: Continuous-time Markov chain on disease networks
Talks:
Invited
Modern Problems Require Precise Solutions: Beating Traditional RCTs by Leveraging External Clinical Data and Adaptive Enrichment
Souradipto Ghosh Dastidar, Jialing Liu, Aidan Neher, Steffen Ventz
ACTStat Meeting 2024, Portland, OR, August 2024
Contributed
Optimal Bayesian Enrichment Trial Designs Leveraging External Clinical Data with applications in Surgery Trial
Souradipto Ghosh Dastidar, Steffen Ventz
Joint Statistical Meetings, Portland, OR, August 2024
Optimal Bayesian Enrichment Trial Designs Leveraging External Clinical Data
Souradipto Ghosh Dastidar, Steffen Ventz
WNAR/ IMS/ Graybill Conference, Fort Collins, CO, June 2024
Correcting for Spatial Correlation in Functional Connectivity from Task-based fMRI
Souradipto Ghosh Dastidar, Oscar Miranda Dominguez, Mark Fiecas
University of San Fransico Data Science Conference, San Francisco, March 2023
Professional Experience:
Novartis Institutes for Biomedical Research, Cambridge, MA, USA
Retrospective analysis on the use of tumor size to predict overall survival in non-small cell lung cancer (NSCLC) patients, Jun- August 2023
Mentors: Anwesha Chaudhury, Andrew M. Stein and Bambang Adiwijaya
Technical University of Darmstadt, Darmstadt, Hesse, Germany
Optimization of Information Rate Capacity of the Poisson Channel with Binary Markov Input, July- November 2020
Mentor: Heinz Koeppl
Technical University of Darmstadt, Darmstadt, Hesse, Germany
Continuous-time Markov chain on disease networks, May- July 2019
Mentor: Heinz Koeppl
Other Academic Activities:
Session Chair at Contributed Session: Survey Sampling and Longitudinal Studies with Applications in Public Health
WNAR/ IMS/ Graybill Conference, Fort Collins, CO, June 2024
Presentation Facilitator, PubH 6355 “Pathophysiology of Human Disease, Fall 2021
Supervisor: Dr. Weihong Tang & Dr. Anna Prizment
Projects:
Public Health- What creates health for people living with HIV in Zimbabwe?
UMN Imaging Genetics Journal Club Presentation: Similarity network fusion for aggregating data types on a genomic scale
Interdisciplinary Health Data Competition 2022 (UMN): Equity and patient satisfaction in value-based hospital incentives (slides) (voice over) (final presentation)
Teaching Experience:
University of Minneosta
Graduate Teaching Assistant, PUBH 8442 - Bayesian Decision Theory, Spring 2025
Supervisor: Eric Lock
Graduate Teaching Assistant, PUBH 8401 - Linear Models, Fall 2024
Supervisor: Steffen Ventz and Cavan Reilly
Graduate Teaching Assistant, PUBH 6450 - Biostatistics I, Fall 2021
Supervisor: Marta Shore
Summer Schools and Other camps:
University of Washington- Summer Institute in Statistical Genetics Summer 2022
Instructors: Matthew Stephens, Eric C Anderson, Ken Rice, Jonathan C. Wakefield, Jan Graffelman
Courses Taken- Bayesian Analysis for Genetics, MCMC for Genetics, Multivariate Analysis for Genetics
National Institute for Science Education and Research Summer 2018
Instructor: Nabin Kumar Jana Course on Random Graphs and Complex Networks
Vijyoshi National Science Camp 2015
Speakers: Rudi van Eldik (FAU Erlangen-N ̈urnberg), Raghu Kalluri (MD Anderson Cancer Center), Bimal Kumar Roy (ISI Kolkata), Laurie J. Butler (UChicago) etc.