Recent Publications

(2023). A hybrid approach to scalable real-world data curation by machine learning and human experts. Under Review.

Preprint Project

(2021). Mixed-integer optimization with constraint learning. Major Revision at Operations Research.

Preprint Code

(2021). Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach. JCO Clinical Cancer Informatics.

PDF

(2021). Personalized Prescription of ACEI/ARBs for Hypertensive COVID-19 Patients. Health Care Management Science.

PDF Code Project

(2021). From predictions to prescriptions: A data-driven response to COVID-19. Health Care Management Science.

PDF Code Project

See all publications

Conferences + Talks

May 4, 2023 11:30 AM IMSI Workshop: Mathematics, Statistics, and Innovation in Medical and Health Care
Oct 17, 2022 5:00 PM INFORMS 2022
Oct 25, 2021 6:00 AM INFORMS 2021
Oct 8, 2021 9:00 AM Cornell Young Researchers Workshop
Jul 21, 2021 2:00 PM INFORMS Healthcare 2021
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

Instruction and Course Development

  • 15.003 Software Tools (MIT Master of Business Analytics, Fall 2021): Co-instructed a series of workshops to introduce core computing tools and topics to incoming Masters students.
  • 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): 6.95 / 7.0
  • 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.