Predictive and Prescriptive Analytics and their Applications
Ph.D. Candidate in Operations Research, MIT, (expected 2021)
B.Sc. Management Science & Technology, Athens University of Economics & Business, 2016
Visiting Student. TUM School of Management, Technical University of Munich, 2015
AWARDS AND HONORS
INFORMS William Pierskalla Best Paper Award 2020, INFORMS, 2020
Bayer Women in Operations Research Scholarship 2020, INFORMS, 2020
Theodore Vassilakis Fellowship 2019, MIT, 2019
First Prize at Assistive Technology Hack 2019
MIT, March 2019
Winner of the Machine Learning Across Disciplines Challenge,
MIT, February 2019
First Prize at EarthHack 2019,
MIT, January 2019
Best Academic Performance Award,
Athens University of Economics & Business, 2012-2016
Winner of McKinsey Challenge Competition,
Athens, July 2015
TALKS AND PRESENTATIONS
INFORMS Annual Meeting, 2020. Pricing the Cost of Algorithmic Risk.
INFORMS Annual Meeting, 2020. Personalized Predictions and Prescriptions for COVID-19 Patients: A ML Approach.
INFORMS Annual Meeting, 2020. Personalized Stroke Risk Estimation: The Impact of Missing Data Imputation.
Cambridge University, COVID-19 Seminar, 2020. From Predictions to Prescriptions: A Data-Driven Response to COVID-19.
Kellogg-Wharton, OM Workshop, 2020. Personalized Stroke Risk Estimation: The Impact of Missing Data Imputation.
International Stroke Conference, 2020. The Non-Linear Framingham Stroke Risk Score.
Society of Thoracic Surgeons Annual Meeting, 2020. Non-Linear Mortality and Morbidity Risk Score for Cardiac Surgery.
Boston INFORMS Chapter Meeting, January 2020. Personalized Treatment for CAD Patients: A Machine Learning Approach.
INFORMS Annual Meeting, 2019. Natural Language Processing from Radiology Reports for Ischemic Stroke Patients.
INFORMS Annual Meeting, 2019. Interpretable Clustering: An Optimization Approach.
INFORMS Healthcare, 2019. The Non-Linear Framingham Stroke Risk Score.
NeurIPS, 2018. Imputation of Clinical Covariates in Time.
American Heart Assocation Annual Meeting, 2018. Personalized treatment for CAD patients: Impact of Machine Learning.
INFORMS Annual Meeting, 2018. Non-linear Stroke Risk prediction using data from the Framingham Heart Study.
INFORMS Annual Meeting, 2018. Interpretable Clustering: An Optimal Trees Approach.
Athens University of Economics and Business, 2017. Optimal Survival Trees.
INFORMS Annual Meeting, 2017. Personalized treatment for CAD patients: Impact of Machine Learning.
INFORMS Healthcare, 2017. Personalized predictive and prescriptive models for CAD patients: An Optimal Trees Approach.
SERVICE AND OUTREACH
Reviewer for INFORMS Journal on Optimization, Health Care Management Science, NeurIPS, PloS one, Machine Learning for Healthcare, Annals of Thoracic Surgery
Vice President of the MIT Hellenic Student Association Board, 2019 - Present
Operations Research Seminar Co-Organizer, Fall, 2019
INFORMS Officer at the Operations Research Center, 2017