Yale University School of Medicine – (Clinical and Translational Research Accelerator). May2022 – Present
KUH Researcher/Intern New Haven, CT
- Successfully completed a prestigious NIH funded summer research program twice, securing ongoing part-time engagement during the academic year with Dr. Dennis Moledina, MD, PhD
- Led a clinical project examining kidney biopsy complications and diagnostic yield.
- Developed and implemented an automated pipeline utilizing Google’s OCR engine to transform unstructured PDFs of Yale New Haven Kidney Biopsy reports into valuable structured data, streamlining access to crucial clinical information for researchers.
- Proficient in biostatistics, study design, and scientific study initiation.
- Utilized a diverse set of tools, including REDCap, EPIC, Python, Java, R, Stata, Git, NLP, BERT, and scikit-learn to enhance research efficiency and accuracy.
University of Iowa Hospitals and Clinics – Emergency Department Lee Lab
Jan. 2022 – Present
Clinical Research Assistant Iowa City, IA
- Collaborated with Dr. Gen Shinozaki, MD at Stanford to explore more effective Delirium screening methods in the ED under Dr. Sangil Lee, MD.
- Validated BSEEG recognition of delirium through chart reviews, patient consent, EEG data collection, and cognitive function tests in a busy ED setting.
- Conducting a systematic review to establish best practices for delirium assessor training.
- Proficiently used EPIC and administered MOCA, CAM-ICU, DRS, and CDR
University of Iowa – College of Engineering
Dec. 2020 – June 2021
Research Assistant Iowa City, IA
- Contributed to ImagiQ, an open source decentralized and asynchronous deep learning platform for medical imaging under Dr. Stephen Baek, PhD.
- Developed a dynamic user-friendly web-app using Python, Git, Django, MongoDB, Jinja, and HTML/CSS
- The web-app interacted with the main ImagiQ ML platform, creating a secure and intuitive interface for healthcare institutions to interact with medical data.
