Experience

Professional Experience:

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


Optimization of Information Rate Capacity of the Poisson Channel  with Binary Markov Input, July- November 2020

Mentor: Heinz Koeppl


Continuous-time Markov chain on disease networks, May- July 2019

Mentor: Heinz Koeppl



    

Projects:


Contributed Talks:


Souradipto Ghosh Dastidar, Steffen Ventz

Joint Statistical Meetings, Portland, OR, August 2024


Souradipto Ghosh Dastidar, Steffen Ventz

WNAR/ IMS/ Graybill Conference, Fort Collins, CO, June 2024


Souradipto Ghosh Dastidar, Oscar Miranda Dominguez, Mark Fiecas

University of San Fransico Data Science Conference, San Francisco, March 2023


Invited Talks:

Souradipto Ghosh Dastidar, Steffen Ventz

ACTStat Meeting 2024, Portland, OR, August 2024


Other Academic Activities:

WNAR/ IMS/ Graybill Conference, Fort Collins, CO, June 2024


Supervisor: Dr. Weihong Tang & Dr. Anna Prizment

Teaching Experience:

University of Minneosta

    Supervisor: Marta Shore


Summer Schools and Other camps:

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


Instructor: Nabin Kumar Jana Course on Random Graphs and Complex Networks


Speakers: Rudi van Eldik (FAU Erlangen-N ̈urnberg), Raghu Kalluri (MD Anderson Cancer Center), Bimal Roy (ISI Kolkata), Laurie J. Butler (UChicago) etc.