Holly Wiberg

Assistant Professor of Operations Research and Public Policy

Heinz College @ Carnegie Mellon University

Biography

Hello! I am an Assistant Professor of Public Policy and Operations Research at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. My research leverages optimization and machine learning techniques in healthcare. I develop novel approaches to enable data-driven decision making, including prescriptive frameworks and interpretable methods. In parallel, I have collaborated extensively with clinical collaborators on projects spanning oncology, pediatric trauma, and COVID-19.

I completed my PhD at the Operations Research Center at MIT, working with Professor Dimitris Bertsimas. I spent a year after graduation as an ML/OR researcher at Flatiron Health. I also previously worked at athenahealth, a healthcare IT company, on their Data Science team.

Interests

Healthcare Analytics
Personalized Medicine
Optimization
Machine Learning

Education

PhD in Operations Research, 2022

Massachusetts Institute of Technology
BS in Operations Research and Information Engineering, 2016

Cornell University

Recent Publications

Donato Maragno, Holly Wiberg, Dimitris Bertsimas, Ilker Birbil, Dick den Hertog, Ade Fajemisin (2023). Mixed-integer optimization with constraint learning. Operations Research.

PDF Code

Casey Luckhurst, Holly Wiberg, Peter Masiakos, Dimitris Bertsimas, et al. (2023). Pediatric Cervical Spine Injury Following Blunt Trauma in Children Younger Than 3 Years: The PEDSPINE II Study. JAMA Surgery.

PDF

Michael Waskom, Katherine Tan, Holly Wiberg, Aaron Cohen, Brett Wittmershaus, Will Shapiro (2023). A hybrid approach to scalable real-world data curation by machine learning and human experts. Under Review.

Preprint Project

Holly Wiberg, Peter Yu, Pat Montanaro, Jeff Mather, Suzi Birz, Michelle Schneider, Dimitris Bertsimas (2021). Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach. JCO Clinical Cancer Informatics.

PDF

Dimitris Bertsimas, Alison Borenstein, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Bartolomeo Stellato, Holly Wiberg, Pankaj Sarin, Dirk Varelmann, Vicente Estrada, Carlos Macaya, Ivan Nunez Gil (2021). Personalized Prescription of ACEI/ARBs for Hypertensive COVID-19 Patients. Health Care Management Science.

PDF Code Project

See all publications

Conferences + Talks

A hybrid approach to scalable real-world data curation by machine learning and human experts

Apr 27, 2024 8:00 AM POMS 2024

Constraint Learning for Healthcare Decision-Making

Mar 23, 2024 2:00 PM INFORMS Optimization Society 2024

A hybrid approach to scalable real-world data curation by machine learning and human experts

Oct 16, 2023 1:45 PM INFORMS 2023

A hybrid approach to scalable real-world data curation by machine learning and human experts

May 4, 2023 11:30 AM IMSI Workshop: Mathematics, Statistics, and Innovation in Medical and Health Care

Optimizing Virtual Care for Chronic Disease Patients: A Case Study in Diabetes

Oct 17, 2022 5:00 PM INFORMS 2022

See all talks

Honors + Awards

2020 William Pierskalla Award: INFORMS Healthcare Applications Society Best Paper, Fall 2020
Graduate Research Fellowship Recipient: National Science Foundation, Fall 2019 - Present
Henry Gabbay Fellowship Recipient: MIT Sloan School of Management, Fall 2017 - Spring 2018
Byron W. Saunders Prize: Cornell University, Spring 2016
Omega Rho Honor Society: Cornell University, Spring 2015
Tau Beta Pi Engineering Honor Society: Cornell University, Fall 2014

Teaching Experience

CMU Instruction and Course Development

90-722 Management Science I (MS in Public Policy and Management; Fall 2023, Spring 2024)
90-760 Management Science II (MS in Public Policy and Management; Fall 2023, Spring 2024)

MIT Instruction and Course Development

15.003 Software Tools (MIT Master of Business Analytics, Fall 2021)
The Analytics Edge in Healthcare (Hartford Hospital, January 2020): Developed an Executive Education course introducing analytics methods to 100 healthcare professionals (medical and administrative) at Hartford Hospital. Created course syllabus and lecture content, and worked on course administration. Co-wrote an accompanying textbook detailing analytics methods and case studies with a focus on healthcare applications.

Teaching Assistantships

15.S60 Computing in Optimization and Statistics (Graduate Seminar, IAP 2021)
15.727 The Analytics Edge (MIT Executive MBA, Spring 2020)
15.727 The Analytics Edge (MIT Executive MBA, Spring 2019)
Engineering Applications of Operations Research (Cornell Undergrad, Fall 2014)

Industry Experience

Senior ML Operations Research Engineer

Flatiron Health

July 2022 – July 2023 New York, NY

MIT Healthcare Lab Team Member

MIT Sloan Healthcare Lab | Massachusetts General Hospital

September 2018 – February 2019 Boston, MA

Developed targeted recommendations to improve operational efficiency of MGH’s Pathology Department.
Built Python simulation model to evaluate the impact of various staffing and process variations.
Collaborated on a multi-disciplinary team with MBAs and pathology department leadership.
The project was highlighted by MIT’s Healthcare Lab, available here.

Member of Technical Staff, Data Science

athenahealth

September 2016 – June 2017 Watertown, MA

Served as an analytics liaison for a major product release.
Built self-serve reporting tools to provide key stakeholders with high visibility into provider performance and migration progress for the project, enabling targeted support for clients and facilitating smooth completion of the migration.
Investigated the effect of the product release on key performance metrics through comparative analysis using SQL and Python.

Data Engineer Intern

athenahealth

June 2015 – August 2015 Watertown, MA

Developed a metric to quantify the productivity of healthcare providers, and established benchmarks for productivity based on identified key drivers.
Delivered recommendations for application of the metric in both internal reporting and client-facing evaluation.