Holly Wiberg

PhD Candidate

MIT Operations Research Center

Biography

Hello! I am a fourth year PhD candidate at the Operations Research Center at MIT, working with Professor Dimitris Bertsimas. My research leverages optimization and machine learning techniques in healthcare. I am working to develop novel approaches to improve patient care based on individual characteristics, including medical history and genomic data. I am particularly interested in the interpretability of machine learning models and applications to oncology. I previously worked at athenahealth, a healthcare IT company, on their Data Science team.

Interests

Personalized Medicine
Machine Learning
Optimization

Education

PhD in Operations Research, 2022

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

Cornell University

Recent Publications

Dimitris Bertsimas, Holly Wiberg (2020). Machine Learning in Oncology: Methods, Applications, and Challenges. JCO Clinical Cancer Informatics (To Appear).

Dimitris Bertsimas, Agni Orfanoudaki, Holly Wiberg (2020). Interpretable Clustering: An Optimization Approach. Machine Learning.

Preprint PDF

Dimitris Bertsimas, Peter Masiakos, Konstantinos Mylonas, Holly Wiberg (2019). Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach. Journal of Pediatric Surgery.

PDF

See all publications

Conferences + Talks

An Optimization Approach to Roster Creation

Mar 7, 2020 1:30 PM Sloan Sports Analytics Conference 2020

A Network-Based Approach To Drug-Target Interactions In Cancer

Oct 22, 2019 7:45 AM INFORMS Annual Meeting 2019

Personalized Cancer Therapies using Genomic Information

Jul 28, 2019 2:00 PM INFORMS Healthcare 2019

[Poster] Interpretable Clustering via Optimal Trees

Dec 7, 2018 10:00 AM Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

Predicting Cervical Spine Injury in Pediatric Trauma Patients

Nov 4, 2018 11:00 AM INFORMS Annual Meeting 2018

Honors + Awards

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

Course Development

The Analytics Edge in Healthcare (Hartford Hospital, January 2020): Co-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

The Analytics Edge (MIT Executive MBA, Spring 2020)
The Analytics Edge (MIT Executive MBA, Spring 2019): 6.95 / 7.0
Engineering Applications of Operations Research (Cornell Undergrad, Fall 2014)

Professional Experience

Analytics Associate

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.