Alexander Shieh, MD

Alexander Shieh, MD

Aspiring Radiologist and AI Enthusiast

About Me

Hi! I am Alexander Shieh, a physician with passion in computer science from Taiwan. Some of my works can be found on Google Scholoar.

Currently, I am an internal medicine preliminary year resident, taking care of a diverse patient population in New York City. My reserach interests are: Radiology AI and Medical NLP.

I also enjoy baking, since the experimental results are edible. Occasionally, I compete in hackathons and datathons.

News


Education

Doctor of Medicine National Taiwan University
2016 - 2023
NTU Medical Student Association Director of Academics (2020-2021)
NTU Department of Medical Education and Bioethics Creative Course Design Competition First Prize (2021)
Society of Cardiovascular CT (SCCT) Young Investigator Award First Runner-Up (2023)
Bachelor of Computer Science National Taiwan University
2016 - 2023
NTU CSIE undergraduate research second prize & Appier first prize (2019).
NTU CSIE undergraduate research Appier AI contribution award (2021).

Research Interests

Radiology AI
Segmentation, Lesion Detection, Radiology-Pathology Correlation, Radiomics Analysis.
Medical NLP
EMR Analysis, Language Models, Information Extraction, Topic Modeling, Automated Evidence Based Medicine.

Work Experience

Internal Medicine Preliminary Year Flushing Hospital Medical Center
2024 - Present
PGY-1 resident in internal medicine.
Postdoctoral Fellow (NIH T32) UT MD Anderson Cancer Center
2023 - 2024
Interventional radiology clinical research.
Research Associate USC Keck School of Medicine
2022 - 2023
USC Radiomics lab. Projects: Radiomics for Renal Cancer, Computational and Spatial Pathology
Research Associate National Taiwan University Hospital
2020 - 2022
Taiwan Cardiovascular AI Consortium. Projects: Deep Learning Segmentation and Radiomics for Coronary CT Angiography and Pelvic CT Angiography.
Research Internship NIH Clinical Center
Summer 2022
Imaging Biomarkers and Computer-Aided Diagnosis Lab. Project: large-scale universal lesion detection.
Research Internship Institute of Information Science, Academia Sinica
Summer 2018
Intelligent Agent System Lab. Project: Chinese deep learning-based dependency parser and word collocation analysis.

Contact

https://twitter.com/templateflip
https://www.facebook.com/templateflip
https://www.instagram.com/templateflip
https://github.com/templateflip