Sotabase

Career

· Analyst, Paradigm BioCapital Advisors LP2025–
· Senior Associate Intern, Great Point Partners2024–2024
· Summer Analyst, Logos Global Management, LP2024–2024
· Master of Business Administration - MBA, Stanford University Graduate School of Business2023–2025
· Data Science Research, Verily Life Sciences2021–2022
· AI Researcher, Stanford Artificial Intelligence Laboratory (SAIL)2020–2021
· Doctor of Medicine - MD, Informatics and Data-Driven Medicine, Stanford University School of Medicine2020–2025
· Teaching Assistant, Departments Of Computer Science And Radiology, Stanford University2019–2021
· AI Researcher, The National Institutes of Health2019–2020
· AI Researcher, Laboratory Of Quantitative Imaging Artifial Intelligence, Stanford University2017–2021
· Master of Science - MS, Computer Science (Artificial Intelligence), Stanford University School of Engineering2016–2019
· Research Science Institute Scholar, Center For Biomedical Informatics, Harvard Medical School2014–2015

Publications (18)

Distributed deep learning networks among institutions for medical imaging
J. Am. Medical Informatics Assoc. · 2018
307
cited
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Machine Learning in Health Care · 2021
94
cited
Deep Convolutional Neural Networks for Lung Cancer Detection
2017
80
cited
Accounting for data variability in multi-institutional distributed deep learning for medical imaging
J. Am. Medical Informatics Assoc. · 2020
56
cited
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training
IEEE Transactions on Medical Imaging · 2021
41
cited
Differentiation of Active Corneal Infections From Healed Scars Using Deep Learning.
Ophthalmology (Rochester, Minn.) · 2021
36
cited
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
arXiv.org · 2021
27
cited
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Medical Image Anal. · 2021
24
cited
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning
arXiv.org · 2019
6
cited
Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universities
PLoS ONE · 2023
6
cited
Institutionally Distributed Deep Learning Networks
arXiv.org · 2017
3
cited
Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning
arXiv.org · 2019
2
cited
Adjustment Restoration Virtual Private Networks and Quality of Service Constraints
2020
1
cited
A Real Time Automatic License Plate Recognition Using Optical Character Recognition
2015
1
cited
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs
iMIMIC/MIL3iD/LABELS@MICCAI · 2020
Group Director HR, Café Coffee Day Group
2017
N Level Unicode Position Character Length Cipher for Securing Smart Card
2010
Pri-Matrix Factorization : Automated Species Tagging in Video Clips
2017
Sotabase
Niranjan Balachandar | Researcher Profile | Sotabase | Sotabase