Shantanu Ghosh
Research Scientist Intern at Boston University Dept. of Electrical & Computer Engineering
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolShantanu Ghosh is a PhD candidate in Electrical Engineering at Boston University specializing in representation learning, explainable AI, and robust multimodal models, with a focus on detecting and mitigating systematic neural network errors. He combines nine years of industry-grade software engineering experience with academic research, publishing in top venues such as ICML, ACL, MICCAI, JAMIA and Radiology: AI, and has interned at Amazon Science exploring failures in self-supervised models. His work bridges medical imaging, causal inference, and deep learning—often collaborating across BU’s medical campus and prior labs at Pitt and UF—bringing practical domain awareness to algorithmic robustness. A former senior software developer, he is fluent in production tooling and ML stacks (Python, PyTorch, TensorFlow) and has a knack for turning theoretical insights into reproducible, deployable solutions. Notably, he followed his advisor’s lab relocation from Pitt to BU, reflecting adaptability and continuity in long-term research programs.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of PittsburghMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of FloridaPCHE Cross-Registered Machine Learning Department , Robotics, PCHE Cross-Registered Machine Learning Department , Robotics at Carnegie Mellon UniversityDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Boston University
English
Github Skills (26)
vision-and-language10
clip10
peer-to-peer9
representation-learning9
java9
multithreading9
computer-networks9
efficientnet9
classifiers8
multimodal8
pytorch7
acl7
retinanet7
medical-imaging7
computer-vision6
Programming languages (5)
Github contributions (5)
shantanu-ai/MTL-TCNN3
May 2020 - Jan 2021
Repository of MTL-TCNN - created as part of the Independent Research Project under the guidance of Prof Dr. Dapeng Oliver Wu, ECE, UF, USA
Contributions:37 commits, 14 pushes, 3 comments in 8 months
oliverdapengindependentguidancemtl
shantanu-ai/P2P-File-sharing
Nov 2019 - Dec 2020
This repository is created as a part of the P2p project for Computer Networks (CNT5106C) at the University of Florida for the Master's in Computer Science program. A simplified P2p network where any number of peers can share any type of file among themselves. Implemented in Java.
Contributions:34 commits, 43 pushes in 1 year
computer-networksjavap2pdistributed-hash-tablecomputer-network
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