Sotabase

Career

· Co-Founder CTO, Valar Labs2021–
· Research Assistant, Stanford Artificial Intelligence Laboratory (SAIL)2019–
· Intern, AgricxLab2018–2018
· Founder, Kanna2018–
· Research Intern, UC Santa Barbara2018–2020
· Research Student, Centre for Fundamental Research and Creative Education2017–2020
· Independent Researcher, International Meteor Organization2017–2018
· Bachelor of Science (B.S.), Computer Science, Stanford University

Publications (29)

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model
ML4H@NeurIPS · 2021
106
cited
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer
Cell Reports Medicine · 2023
15
cited
Application of deep learning and image processing analysis of photographs for amblyopia screening
Indian Journal of Ophthalmology · 2020
14
cited
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort
Journal of Urology · 2024
12
cited
AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions
Cell Reports Medicine · 2023
10
cited
Effectiveness of Kanna photoscreener in detecting amblyopia risk factors
Indian Journal of Ophthalmology · 2021
9
cited
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2021
6
cited
Presence of an Artificial Intelligence-powered Predictive Biomarker Is Associated with a Poor Response to Intravesical Bacillus Calmette-Guerin but Not to Intravesical Sequential Gemcitabine/Docetaxel in Patients with High-grade Non-muscle-invasive Bladder Cancer.
European Urology Oncology · 2025
5
cited
Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.
European Urology · 2025
3
cited
Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC).
Journal of Clinical Oncology · 2023
2
cited
Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.
Journal of Clinical Oncology · 2022
2
cited
Abstract A043: Validation of an artificial intelligence derived histological biomarker for gemcitabine response in resected pancreatic ductal adenocarcinoma (PDAC)
Cancer Research · 2022
1
cited
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video
arXiv.org · 2020
1
cited
43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade serous carcinoma
Featured Printed Posters (Poster Rounds with the Professors) · 2022
44/#219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform
Featured Printed Posters (Poster Rounds with the Professors) · 2022
AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and cisplatin: BLAAST-1 Trial.
Journal of Clinical Oncology · 2023
AI-Clinician Collaboration via Disagreement Prediction: A Framework and Analysis Using Real-World Data From a Deployed Radiology AI System
Social Science Research Network · 2022
AN ARTIFICIAL INTELLIGENCE-POWERED MODEL TO PREDICT RESPONSE TO INTRAVESICAL BCG VERSUS GEMCITABINE-DOCETAXEL FOR HIGH-RISK NON-MUSCLE INVASIVE BLADDER CANCER
Urologic oncology: Seminars and original investigations · 2025
Association of a novel AI-based digital pathology (CHAI) biomarker with progression free survival (PFS) in patients (pts) with metastatic hormone sensitive prostate cancer (mHSPC).
Journal of Clinical Oncology · 2025
CheXGB: Combining Graph Neural Networks and BERT for automated radiology report labeling
2021
Sotabase
Viswesh Krishna | Researcher Profile | Sotabase | Sotabase