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Executive Leader in AI/Machine Learning/Data Science/Analytics for Biomedical, Healthcare and Life Science Innovations
Executive Summary: • Experienced in applying AI/machine learning/data science for a variety of life science applications across all aspects of biomedical and healthcare analytics; including diagnostics, devices, therapeutics, clinical trials, and payers/insurance. • Worked and consulted across academia and industry, including Fortune 50 and multi-national companies and a number of start-ups at various stages. • Established research presence and expertise with 100+ published papers, abstracts and patents. • Experienced in building, recruiting and leading global teams of data scientists at all levels. Leader in the applications of AI, ML and advanced quantitative techniques for biomedical and other problems. Particularly in developing strategic direction for global teams to deliver value in pharmaceutical R&D, diagnostics, and digital health. Experienced in leading scientists and technical experts, developing strategic insights, representing technical issues and competencies to executive management and investors, and ensuring delivered value and ROI. Managerial Skills: Recruiting and leading teams of Data Scientists at all levels. Facilitating efficient and meaningful dialogue between technical, biomedical and business experts; making technical topics and issues accessible. Analytical Skills: AI, GenAI, Machine learning algorithms. Biomarker and biomedical-image analysis, personalized prognostics, pattern recognition, linear/non-linear regression, survival analysis (Cox Proportional Hazard Model), High Dimensional and Longitudinal Data Analysis, Multivariate Biostatistics, Retrospective Data Analysis. Specialties: Machine Learning, Computational Biology, Bioinformatics, Data Mining, Natural Language Processing, Biostatistics, Survival Analysis, Translational Medicine, cancer prediction and prognosis, statistical design of retrospective clinical studies,
Lehigh University
BS,MS, Computer Engineering
N/A – Present
Western Reserve Academy
High School
N/A – Present
Rutgers University
Doctor of Philosophy (PhD), Computer Science
N/A – Present
Novo Nordisk
Corporate Vice President, AI and Analytics
February 1, 2022 – Present
AstraZeneca
Executive Director, Advanced Analytics and Artificial Intelligence
March 1, 2018 – February 1, 2022
Aetna
Senior Director, Data Science
June 1, 2015 – March 1, 2018
Rutgers University
Part Time Lecturer (Adjunct Faculty)
September 1, 2013 – Present
Icahn School of Medicine at Mount Sinai
Director of Biostatistical Operations
August 1, 2013 – November 1, 2017
Covance
Director of Informatics
May 1, 2012 – August 1, 2013
Celmatix, Inc.
Senior Data Analytics Consultant
January 1, 2012 – May 1, 2012
Biodesix, Inc.
Biostatistics Consultant
November 1, 2011 – April 1, 2012
BioMotion Suite
Machine Learning Consultant
January 1, 2011 – January 1, 2012
Aureon Biosciences
Director of Machine Learning and Biostatistics
July 1, 2010 – November 1, 2011
Aureon Laboratories
Manager, Machine Learning Department and Senior Machine Learning Scientist
January 1, 2007 – January 1, 2010
Aureon Biosciences
Machine Learning Scientist
January 1, 2004 – January 1, 2007
Cultural Fit Analysis
The candidate's extensive experience in large pharmaceutical companies (Novo Nordisk, AstraZeneca) and healthcare organizations (Aetna, Mount Sinai) suggests a strong fit for structured, research-intensive, and regulated environments. Their academic background and teaching experience also indicate a culture of continuous learning and knowledge sharing. However, the target role of 'Data Analyst' is a significant step down from their current and past leadership positions, which might indicate a potential cultural mismatch regarding role scope and responsibilities. The breadth of their experience across various data science and AI domains is very strong, but the specific alignment with a pure 'Data Analyst' role is low.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and team-building capabilities through their executive roles. Their experience in teaching suggests strong communication and mentorship skills. The focus on real-world problem-solving in drug discovery and clinical trials indicates a results-oriented and analytical approach. However, the target role of 'Data Analyst' is significantly junior to their demonstrated experience, which could lead to a mismatch in operational expectations and scope.