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Senior Principal Scientist (ex-Amazon) and Adjunct Professor at Loyola Medicine. Areas of work: public sector, startups, AI/ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Illinois
Data Scientist
June 25, 2026 – Present
homeseller_ai_agent
March 22, 2026 – Present
an AI-powered tool to help homeowners better price and sell their home
View Projectreinforcement_learning_experiments
March 20, 2026 – Present
Research into knowledge acquisition by LLM-powered agents
View Projectpandemic_supply_chain
March 10, 2026 – Present
Pandemic supply preparedness tool using AWS Supply Chain
View Projectuncertainty_strategies
January 18, 2023 – January 30, 2025
Research data to support work on uncertainty
View Projectfeverfighter
January 26, 2019 – November 23, 2020
The FeverFighter model for Influenza and COVID-19 control
View Projectcascaderesilience
April 30, 2017 – April 30, 2017
Software related to Cascade Resilience and terrorist networks
View ProjectNov13
November 18, 2015 – August 28, 2017
Network analysis and network data for ISIS attacks in Europe (incl. Nov 13, 2015 and Mar 22, 2016 attacks in Paris and Brussels). Submits and updates welcome
View Projectmusketeer
August 25, 2015 – May 28, 2024
Multiscale Entropic Network Generator (MUSKETEER)
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research and academic-style problem-solving, particularly in areas like network analysis, public health modeling, and generative AI. This aligns well with roles that require deep analytical thinking and independent research. However, the lack of diverse team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit beyond individual contributions. The single professional experience listed is current and recent, offering limited historical context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.