Apr 2022 – Present · 4 yrs · Maywood, IL

• Research and publications in computational epidemiology and methods
• Supervising students

Apr 2013 – Apr 2022 · 9 yrs · Maywood, IL

• Supervise and train students; propose, manage and lead research projects; implement data science algorithms and models.
• Completed 6 studies in leading journals and won over $2M in grants

Jan 2022 – Oct 2023 · 1 yr 9 mos

• Implemented enterprise LLM solutions using RAG architecture
• Published studies applying causal and ML methods for healthcare
• Implemented AI solutions in care delivery

Jan 2020 – Jan 2022 · 2 yrs

• Developed analytics for mobile health apps, responding to the COVID-19 emergency
• Implemented data pipelines and solutions using AWS, Snowflake, Elasticsearch, MongoDB
• Published research in methods and epidemiology

Dec 2020 – Dec 2023 · 3 yrs · United States

• Architected and built the company's cloud-based platform
• Implemented full-stack ML-driven risk models and products
• Led a team of engineers, scientists and interns

Mar 2018 – Jan 2020 · 1 yr 10 mos · Greater Chicago Area

• At Blue Health Intelligence, my responsibility was to advise the executive team on the company's data strategy and provide leadership for initiatives in the area of artificial intelligence, machine learning, and predictive modeling. Predictive and prescriptive models I developed informed the care of 60 million lives in the Blue system, and generated over $1 million of revenue in 2019 alone. I also lead in BHI receiving the CMS Qualified Entity designation, increasing BHI's core database by over 50%.

Jan 2018 – Oct 2023 · 5 yrs 9 mos · Greater Chicago Area

Jan 2018 – Dec 2019 · 1 yr 11 mos · Greater Chicago Area

• As a technical and data science adviser for TAFi, I helped TAFi define new products and evaluate data science technologies, and linked TAFi to potential clients.

Jan 2015 – Jan 2018 · 3 yrs · Greater Chicago Area

• At Uptake Technologies, I led the research of all new healthcare analytics algorithms.
• Implemented patent-pending Data Science algorithms using R, Python, NoSQL, ARIMA, NLP
• Discovered health-enhancing and cost-saving improvements in the areas of Billing, Emergency Department administration, and Clinical Decision Support.
• Streamlined client engagement processes in order to accelerate the time to results and increase business value, and identified new opportunities for products

Aug 2012 – Aug 2014 · 2 yrs

• Design and develop of simulation software for epidemiology of Hepatitis C viruses (Java, Python, Machine Learning, Big Data)

Jul 2012 – Present · 13 yrs 9 mos

• Conduct research in epidemiology, write grants, and teach courses
• Supervised 6 students and won over $3M in grants
• Designed first-of-its kind cloud-based epidemiological dashboard that integrates mobile phones (R/Shiny), cloud DB (Amazon Redshift) and predictive spatio-temporal modeling
• Invented a patent-pending multiscale modeling method for Network Analytics

Oct 2011 – Jul 2012 · 9 mos

• Developed high-performance algorithms for health & network data analysis (Python and R)
• Led a major study of RSV antibodies that found possible savings of $150M per year
• Led a time-critical study of Ebola outbreaks that was completed in 5 weeks and found workflow changes that could reduce mortality from the virus

Oct 2009 – Sep 2011 · 1 yr 11 mos

• Researched and implemented security algorithms (Python)

Jan 2001 – Jan 2002 · 1 yr · Waterloo, Ontario, Canada · On-site

• Integrated Content Management System (CMS) technology into Siebel Architecture (acquired by Oracle).
• Designed and implemented a new tree reconstruction algorithm, improving indexing subsystem performance by over 20%.
• Developed integration objects and utilities using C++, bash and Visual Studio