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Basics
| Name | Kaustubh R. Kulkarni |
| Summary | PGY-1 Psychiatry Resident in the Neuroscience Research Training Program (NRTP) at Yale University. |
Work
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2025.06 - 2029.06 -
2022.04 - 2022.08 Intern - Computational Psychiatry Group
Alena - Digital Therapeutics
- Advisors: Quentin Huys, MD, PhD, and Mona Garvert, PhD
- Performed model-agnostic behavioral analysis of social interactions between artificial agents and participants with social anxiety
- Developed a reversal learning paradigm to investigate responsiveness to social learning
- Constructed customized computational models to extract learning parameters from task behaviors and related them to clinical questionnaires
- Gained experience in mobile and desktop app development and game design
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2017.05 - 2023.04 Graduate Student at the Center for Computational Psychiatry
Icahn School of Medicine at Mount Sinai
- Advisors: Xiaosi Gu, PhD, and Daniela Schiller, PhD
- Utilized linear and non-linear machine learning to classify chronic users of cannabis, and graph theoretical methods to investigate neural patterns underlying chronic cannabis use
- Conceived and implemented novel computational models to investigate decision-making and craving in populations with addiction
- Revised and improved lab-standard maximum likelihood models of reinforcement learning to utilize Bayesian parameter estimation
- Implemented dynamical systems models to probe latent states underlying verbal free recall of traumatic memories in veterans with post-traumatic stress disorder
- Collected behavioral data using online platforms such as Prolific, as well as neural data such as functional MRI and intracranial EEG
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2015.05 - 2017.04 Lab Manager/Research Assistant at the Center for Molecular and Behavioral Neuroscience
Rutgers University - Newark
- Advisor: Michael W. Cole, PhD
- Developed tasks designed to determine of mechanisms underlying rapid instructed task learning (RITL)
- Led a project to identify and decode prototypical mental states, their dynamics, and characteristic graph theoretical measures during resting state using community detection, clustering algorithms, and other machine learning methods
- Collected functional MRI/EEG/neurophysiological data for three protocols from cohorts of healthy college-aged young adults and aging populations
-
2011.12 - 2015.05 Research Assistant at the Center for Advanced Biotechnology and Medicine
Rutgers University - New Brunswick
- Advisor: Gaetano Montelione, PhD
- Engineered a software platform for the identification of novel targets for NMR structure determination using BLAST/HMMER similarity scores in conjunction with dimensionality reduction algorithms to embed protein sets into 2D/3D visualization space
- Developed a novel method for sequence-based structure determination and surface feature characterization based on the Rosetta platform
- Collected protein NMR data through an end-to-end protein imaging pipeline, including protein design, production, purification, and NMR data acquisition
Volunteer
-
2015.05 - 2017.04 Princeton, NJ
Education
Awards
- 2022
T32 Training Program in Substance Use Disorders
Icahn School of Medicine at Mount Sinai
- 2015
Departmental Highest Honors, Cell Biology and Neuroscience
Rutgers University - New Brunswick
- 2015
Bachelor of Arts Magna Cum Laude
Rutgers University - New Brunswick
- 2014.2015
Phi Beta Kappa Honors Society
Rutgers University - New Brunswick
- 2012.2013
CABM Undergraduate Program Scholar
Rutgers University - New Brunswick
- 2011
Presidential Scholarship (Full Tuition)
Rutgers University - New Brunswick
- 2011
National Merit Scholar
National Merit Scholarship Corporation
Certificates
| Computational Psychiatry Course | ||
| ETH Zurich | 2022 |
| Neuromatch Academy - Computational Neuroscience | ||
| Stanford University | 2021 |
| Inter-subject Correlation and Shared Response Modeling Workshop | ||
| Princeton University | 2019 |
| Computational Psychiatry Course, Bayesian Learning and Reinforcement Learning Workshop | ||
| Icahn School of Medicine at Mount Sinai | 2019 |
Skills
| Programming | |
| Python | |
| Matlab | |
| R | |
| Javascript | |
| Shell scripting |
| Data Analysis | |
| scikit-learn | |
| tensorflow | |
| brainiak | |
| tidyverse | |
| Stan | |
| pymc |
| Platforms | |
| Full-stack web development | |
| flask | |
| React | |
| AWS |
| Relevant coursework | |
| Drug Addiction: Mechanisms and Therapeutic Approaches | |
| Statistical Rethinking, A Bayesian Course | |
| Probability and Inference | |
| Machine Learning for Biomedical Data Science | |
| Biomedical Software Engineering |
Languages
| Marathi | |
| Fluent |
| English | |
| Native Speaker |
Interests
| Neuroscience | |
| Substance Use Disorders | |
| Behavioral Addiction | |
| Biomedical Informatics | |
| Cognitive Neuroscience | |
| Computational Neuroscience | |
| Theoretical Neuroscience |