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Career

· Undergraduate, Computer Science, Stanford University2021–
· Summer Research in Statistical Modelling, Pioneer Academics2020–
· Program II - Algebraic Topology, Stanford University2020–
· Research Assistant, Stanford University
· Machine Learning Engineer, Valar Labs

Publications (21)

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
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions
arXiv.org · 2023
11
cited
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
ML4H@NeurIPS · 2023
10
cited
Effectiveness of Kanna photoscreener in detecting amblyopia risk factors
Indian Journal of Ophthalmology · 2021
9
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
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
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
Contrastive Learning for Sentence Embeddings in BERT and its Smaller Variants
2023
Generalizing Abundancy Index to Gaussian Integers
2020
Lymphoma Subtype Diagnosis with Deep Learning
2021
MP06-18 EVALUATION OF THE COMPUTATIONAL HISTOLOGY AI (CHAI) BIOMARKER FOR PROGNOSTICATION OF HIGH-GRADE RECURRENCE RISK IN INTERMEDIATE-RISK NON-MUSCLE INVASIVE BLADDER CANCER: A MULTICENTER STUDY
Journal of Urology · 2025
PD30-03 PREDICTING RESPONSE TO INTRAVESICAL BCG IN HIGH RISK NON-MUSCLE INVASIVE BLADDER CANCER USING AN ARTIFICIAL INTELLIGENCE-POWERED PATHOLOGY ASSAY: DEVELOPMENT AND VALIDATION IN AN INTERNATIONAL 12 CENTER COHORT
Journal of Urology · 2024
Use of a computational histology artificial intelligence-powered predictive biomarker for chemotherapy selection in advanced pancreatic cancer patients from a multi-institutional cohort including two prospective studies.
Journal of Clinical Oncology · 2026
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Vrishab Krishna | Researcher Profile | Sotabase | Sotabase