---
title: "KishorePromod B, R - AI Drug Discovery Scientist in Bengaluru | Tal"
description: "Meet KishorePromod B, R, AI Drug Discovery Scientist | Precision Oncology & Biomarker Discovery | Drug MoA & Pathway Modeling | Preclinical & Clinical Data Science based in Bengaluru. AI stack includes codex, claudecode, and huggingface. Explore public work links including github."
image: "https://tal.club/meet/kishore-promod-rb/share-image"
---

# KishorePromod B, R on Tal

## Headline

AI Drug Discovery Scientist \| Precision Oncology & Biomarker Discovery \| Drug MoA & Pathway Modeling \| Preclinical & Clinical Data Science

## About

Scientist with a demonstrated history of working in the field of computational biology, precision medicine, drug formulary and datasets in cancer\. Skilled in Oncology, Drug Interactions, Molecular Modeling, Biotechnology, Cancer Biology, and Data Mining\. Strong research professional with a Master of Technology \- MTech focused in Biotechnology from Vellore Institute of Technology\. Follow me : https://medium\.com/@mailtokishore/top\-5\-failed\-biotech\-firms\-reason\-and\-key\-learnings\-8d064c76ee39

## Location

Bengaluru

## AI stack

codex

claudecode

huggingface

## Work experience

AI Drug Discovery Scientist at Lantern Pharma Inc\. \(Nasdaq: LTRN\), Mar 2026 \- Present · 7 mos, Bengaluru, Karnataka, India, Contributed to the development of a multi\-agent AI co\-scientist platform withZeta\.ai for rare cancer research applications\. • Contributed multi\-omics datasets and bioinformatics tools to enable data\-driven biological insights and analysis workflows\. • Contributed RNA\-Seq pipelines for genomic data processing and interpretation\. • Worked on RADR platform development by applying machine learning methods for therapy recommendation in metastatic breast cancer using ctDNA datasets\. • Developed a Retrieval\-Augmented Generation \(RAG\) pipeline for Zeta AI to enhance real\-time oncology knowledge updates through integration of oncology RSS feeds and FDA approval data\. • Contributed data ingestion and retrieval workflows using web scraping, document chunking strategies, embeddings, and vector databases for efficient knowledge retrieval and contextual responses\. • Supported precision medicine initiatives through data preprocessing, integration, and ML\-driven analysis\.

Scientist R&D \- Level 3 at Cellworks, Jul 2023 \- Mar 2026 · 2 yrs 9 mos, Bengaluru, Karnataka, India, Team: Biostatistical Analysis Work: Biostatistical analysis and patient stratification using clinical and preclinical data to support biomarker discovery and therapeutic decision\-making Responsibilities: \- Performed EDA, data handling, preprocessing and feature engineering for clinical, preclinical and genomic datasets \- Conducted univariate and multivariate analyses for biomarker discovery in early‑stage drug discovery programs\. \- Applied statistical and ML methods \(regression, classification, decision trees, clustering, association rule mining\) for feature selection and pattern recognition\. \- Integrated genomic results with pathway biology to assess disease relevance and therapeutic potential\. Supported Oncology Program \(Current\): CDK7i

Scientist R&D \- Level 2 at Cellworks, Oct 2022 \- Nov 2023 · 1 yr 2 mos, Bengaluru, Karnataka, India, Team: Precision Pharma Work: Oncology drug intelligence and clinical asset screening Responsibilities: \- Curated oncology drugs from failed clinical trials for evaluation of revival and rescue potential \- Built Power BI dashboards to enable rapid screening and comparison \- Analyzed trial outcomes\(ORR, CR, PR, DCR\) and key attributes \(Target, patent life\) to support data\-driven drug repurposing decisions

Scientist R&D \- Level 1 at Cellworks, Aug 2019 \- Nov 2022 · 3 yrs 4 mos, Bangaluru, Team: Biology & Drug Development Work: End\-to\-end drug development intelligence and biological interpretation Responsibilities: \- Curated PK/PD and MoA data from DrugBank and PubChem \- Built MoA maps across major oncology drug classes \(TYKi, DNA Damaging Agents, mAbs\) \- Analyzed drug sensitivity/resistance/feed\-back loop mechanisms \- Delivered actionable biological insights to research/modelling teams

Biomodelling Intern at Cellworks Life, Aug 2017 \- Jan 2018 · 6 mos, Bengaluru Area, India, •\-Undergone training on below mentioned topics\-• •\-Cancer biology•\-Cell biology •\-Genomics and Mutation •\-Enzyme kinetics •\-Mathematical/Simulation modelling •\-Precision Medicine •\-Cellwork’s products•\-SINGULA•\-VENTURA\-• I built EGFR pathway in a simulation model while I was being trained\. And also applied Michelis\-Menten equation to optimise the interaction kinetics\.

## Education

Diploma of Education, Machine learning and Artificial Intelligence, International Institute of Information Technology Bangalore

Master of Technology \- MTech, Biotechnology, Vellore Institute of Technology

## Public links

- github: https://github\.com/k2code20

[View the original profile](https://tal.club/meet/kishore-promod-rb)

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