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Dushyant Sahoo
Dushyant Sahoo
Applied Scientist
JP Morgan Chase & Co.
Link to: CV (last updated: October 2022)
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About Me
I am currently working at JP Morgan Chase & Co., solving financial problems using Machine Learning and High Performance Computing. I completed my PhD from the Department of Electrical & Systems Engineering at the University of Pennsylvania, under the guidance of Prof. Christos Davatzikos. I completed bachelors and masters in electrical engineering at Indian Institue of Technology, Delhi . You can see a current list of my papers here.
I enjoy road cycling and inline skating, ski mountaineering and painting (see my instagram ) in my spare time.
Publications
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Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study
Dushyant Sahoo, Mathilde Antoniades, Cynthia Fu, Christos Davatzikoss
arXiv 2022
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Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo and Christos Davatzikos
NeurIPS 2021
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Variance reduced stochastic proximal algorithm for auc maximization
Dushyant Sahoo and Soham Dan
ECML 2021
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Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
Dushyant Sahoo and Christos Davatzikos
arXiv 2021
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Early Stopping can Improve Langevin Dynamics Sampling
Dushyant Sahoo, Alnur Ali and Edgar Dobriban
arXiv 2021
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Hierarchical extraction of functional connectivity components in human brain using resting-state fMRI (journal paper)
Dushyant Sahoo, Theodore D Satterthwaite, Christos Davatzikos
IEEE TMI 2020
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Variance reduced stochastic proximal algorithm for auc maximization (workshop paper)
Dushyant Sahoo and Soham Dan
OPT-NeurIPS 2020
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Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI (wokshop paper)
Dushyant Sahoo, Danielle Bassett and Christos Davatzikos
Med-NeurIPS 2019
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Sparse low-dimensional causal modeling for the analysis of brain function
Dushyant Sahoo, Nicolas Honnorat and Christos Davatzikos
SPIE 2019
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GPU accelerated extraction of sparse Granger causality patterns (oral)
Dushyant Sahoo, Nicolas Honnorat and Christos Davatzikos
ISBI 2018
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Effect of MRI scanner parameters on breast cancer radiomics and radiogenomics (journal paper)
Ashirbani Saha, Xiaozhi Yu, Dushyant Sahoo and Maciej A. Mazurowski
ESWA 2017
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On using error correction for Mobile Augmented Reality applications
N. Narendra, Dushyant Sahoo, Pavan K. Reddy, Ashley Varghese, Kriti Kumar, M. Girish Chandra and P. Balamuralidhar
ICSCN 2015
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Offline handwritten word recognition using MQDF-HMMs
Sitaram Ramachandrula, Mangesh Hambarde, Ajay Patial, Dushyant Sahoo and Shaivi Kochar
SPIE 2015
Posters
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Interactions of Default Mode Network with Language Regions Using Full Brain Autoregressive Modelling
Dushyant Sahoo, Ishaan Batta and Rahul Garg
OHBM 2017
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GPU accelerated extraction of sparse Granger causality patterns
Dushyant Sahoo, Nicolas Honnorat and Christos Davatzikos
OHBM 2017
Graduate Courses
Mathematical Statistics |
Statistics for Data Science |
Statistical Inference |
Convex Optimization |
Optimization Methods in Machine Learning |
Advanced Linear Algebra |
Service
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Journal: IEEE Transactions on Medical Imaging
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Conferences: AISTATS, MICCAI, ICLR