cv
Clinical training, professional experience, and honors.
Work
-
2025.11 - Present -
2025.07 - 2026.06 -
2021.06 - 2025.06 Diagnostic Radiology Resident
Brigham and Women's Hospital
- Chief Resident, 2023-2024 and for a few months in 2025
- RSNA Resident Representative, 2022-2023
-
2020.06 - 2021.06 Preliminary Internal Medicine Intern
University Hospitals Cleveland Medical Center
- Awarded Preliminary Intern of the Year
-
2018.12 - Present Consultant
Freelance AI Consulting
Provide consulting services for companies related to healthcare (primarily medical imaging) and AI, including MD.ai, Dasa, and Centaur Labs
-
2015.05 - 2015.08 Fellow
Data Science for Social Good
Developed a machine learning algorithm alongside the Illinois Department of Public Health to predict risk of adverse birth outcomes in underserved pregnant women to guide allocation of limited resources
- Published manuscript in the American Journal of Public Health: https://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2017.303711
Education
-
2016.08 - 2020.05 Providence, RI, USA
-
2015.09 - 2016.05 Providence, RI, USA
-
2012.09 - 2016.05 Providence, RI, USA
Awards
- 2024
RSNA Research Resident Grant
Radiological Society of North America
Artificial Intelligence for Longitudinal Segmentation and Tumor Risk Prediction of IDH-mutant Gliomas
- 2024
MIDRC XAI Grand Challenge 1st Place Winner
Medical Imaging and Data Resource Center
1st place winner in this competition to produce explainable AI predictions for pneumonia in chest radiographs
- 2023
MIDRC mRALE Mastermind Challenge 1st Place Winner
Medical Imaging and Data Resource Center
1st place in this competition to predict COVID severity on chest radiographs
- 2021
The Willard A. Bernbaum Award
Case Western Reserve University School of Medicine
Awarded by the Department of Medicine to 2 exemplary preliminary interns in Internal Medicine per year
- 2020
RSNA Trainee Research Prize in Neuroradiology
Radiological Society of North America
Awarded for scientific abstract, Fully-Automated Identification and Characterization of Large Vessel Occlusions on CT Angiography with 3D Convolutional Neural Networks, under the mentorship of Dr. Harrison Bai
- 2020
Radiological Society of Rhode Island Prize
Radiological Society of Rhode Island, Warren Alpert Medical School
Awarded to two graduating medical students who have completed a radiology elective, shown significant interest in radiology during the elective and knowledge in radiology considered to be greater than his/her colleagues
- 2018
RSNA Trainee Research Prize in Informatics
Radiological Society of North America
Awarded for scientific abstract, Predicting Thyroid Malignancy with Efficient Convolutional Neural Networks, under the mentorship of Drs. Michael Beland and Derek Merck
- 2017
RSNA Pediatric Bone Age Challenge 2nd Place Winner
Radiological Society of North America
2nd place in the inaugural RSNA AI challenge
- 2016
The Milton Hamolsky Prize
Program in Liberal Medical Education, Brown University
Awarded to the PLME student who has best utilized the potentialities inherent in the PLME to pursue scholarly interests in the natural sciences which will enhance and enrich the student’s career as a physician