Resume
Table Of Contents
Expertise
Leadership
- Strategic Planning, Project & Stakeholder Managment,
- Leadership Styles (Servant, Democratic & Coach)
AI/ML
- Generative AI & Biology (LLMs, RAG, Agents, LangChain, BioNemo, ESM, and more)
- General AI/ML (TensorFlow, PyTorch, AWS SageMaker, OpenCV, and more)
- Data Engineering (Data Products, Observability, and more)
- Health Informatics (FHIR, OMOP, Epic, Practicefusion & more)
Industry Experience
Head of Data Science – North America, Zifo
Zifo is global technology consulting firm for Biopharma & Health industry
- Responsible for innovation, industry partnerships, business strategy & relationships
- Built global strategy, business plans, & global initiatives for revenue growth (~70%)
- Established AI/ML innovation teams, governance, & partnerships models
- Incubated new functions, the Data Products, Generative Biologics & Clinical Operations
- Partnered with Health & Pharma leaders for:
- Enterprise data strategy & emerging AI/ML use-cases,
- Data-driven decisions for optimizing AI/ML ROI from (~10M) strategic investment
- Championed Generative AI solutions including:
- RAG-based assistants, LLM-based predictive models for clinical & research, and
- Protein design models for in silico drug design; a combined $3.0M annual revenue
Senior Data Scientist III – Life Sciences, Elsevier (Global)
Elsevier is a global information analytics business specializing in science and health
- Led global AI/ML teams, supported executive leadership & product managers
- Developed patient safety reporting solutions, >40% operational efficiency for Embase
- Developed LLM-based information extraction solutions for drug disovery, safety, & efficacy decisions; now part of Pharmapendium & Embiology
- Chaired enterprise-wide AI/ML guild to establish:
- AI/ML lifecycle, governance, & MLOPS recommendations,
- Leading a global team & reporting to C-level executives
Data Scientist & Manager - Health Analytics, Elsevier, PA (USA)
Elsevier is a global information analytics business specializing in science and health
- Helped build the North America team of clinical experts & AI/ML scientists
- Developed Computer Vision-based solutions for diagnostic pathways & decision support
- Developed predictive solutions for ClinicalPath:
- identify “patients-at-risk”; improved effectiveness by up to 80%
- diagnose patient conditions to minimize clinical errors; increased correct diagnoses >26%
- Developed NLP & Deep Learning systems for:
- medical coding & information extraction from unstructured clinical data;
- built Elsevier’s Health Knowledge graph, now part of ClinicalKey
Research Experience
Graduate Researcher - Delaware Biotechnology Institute, DE (USA)
- Developed computational, statistics, machine-learning for genomic research
- Identified 15+ biomarkers for genetic diseases and discovered a new class of RNAs
- Led or managed projects, including with teams from Stanford and UPenn
- Published 15+ peer-reviewed papers in areas of disease gene, biomarkers & RNA discovery
Project Incharge & Senior Researcher at National Institute for Biotechnology (IND)
- Led research plans, execution for for World Bank-funded project (USD > 5M)
- Developed Bioinformatic solution & discovered new biomarkers fulfilling the objectives
- Recieved two patents for my research
Information Technology Officer at National Institute of Plant Genome Research (IND)
- Managed IT team & infrastructure to support institute-wide research projects
- Served as staff Bioinformatics lead to develop research grants
Education
- B.S. Biotechnology, Bangalore University (India), 2005
- M.S. Biochemistry, Sam Higginbottoms University (India), 2007
- Ph.D Bioinformatics & Systems Biology, University Of Delaware (US), 2017