Amit Kulkarni Email & Phone Number

Boston, Ma, Us

Lead product innovation and manage end-to-end product lifecycles within Research Informatics, spanning research platforms, clinical trials, research administration, and scientific computing. By driving innovation—including but not limited to AI technologies—provide scalable, cutting-edge solutions that advance cancer research and enhance patient care.

San Francisco, California, Us

At Revelation Health, we’re building secure, AI-driven solutions that provide insight into complex medical records. Our vision is a tool that supports physicians in making better decisions, and patients in understanding their options and care plan.

San Francisco, Ca, Us

- Led and managed cross functional team consisting of Data Science, Bioinformatics, Clinical Informatics, Genetic Counselors, Product management and Software Engineering professionals.- Built new collaborations (City of Hope) to create applications in new areas for Invitae (e.g. Molecular Tumor Board)

Served a network of Oncology Academic Medical Centers (e.g. Moffitt, City Of Hope, USC Norris) and Pharma companies (e.g. Merck, Abbvie, BMS) with Computational Biology, Data Science and Product Development needs.Integrate: Gather, generate, and unify diverse sources of data - Create multiple pathways to data for a clinical-molecular repository- Establish provider networks and partners for new data- Functionalize clinical & molecular data and beyondDiscover: New value from unified data - Insights into disease progression- Virtual clinical trials through comparator groups- Empowerment of all stakeholders: patient, providers, pharma, payersTreat: Tailored clinical care decisions- Navigate clinical care pathways- Create a virtual tumor board- Match patients to clinical trialsMonitor: Longitudinal patient tracking- Inform evolving treatment- Refine care pathways- Compare treatment efficacy with real-world evidence Technology IntelliGene’s suite of proven solutions enable rapid application development:- Knowledge Base: explore integrated clinical & molecular data on thousands of patients- Data Pipeline: automated data cleaning, processing, and organization- Oncology BI: flexible data visualization and exploration​​​- Clinical Decision Support: patient-centric analysis to empower physicians and providers

Rahway, New Jersey, Us

• Integrative data analysis using phenotypic, genotypic, and drug development datasets • Bioinformatics, statistical analysis and building predictive models • Associate pathways signatures with phenotypic and clinical endpoints• Processed and analyzed NGS data both DNA and RNA for mutational signatures and gene expression analysis. • Designed Merck’s custom microarrays and genome-wide siRNA/CRISPR designs• Compiled the druggable target space to aid Target ID and validation, drug-repositioningstudies, and characterize the landscape for targets and diseases of interest• Developed the first Merck crowdsourcing pilot (http://www.kaggle.com/c/MerckActivity) that resulted in 17% improvement over our existing best model and translated to ~$600,000 savings per year for Merck. The project was covered in New York Times. (http://tinyurl.com/ nncmjer)