Anshul Gowda

I am an Electrical Engineering student interested in pursuing medical school! I am interested in working with multidisciplinary teams to advance patient care through evidence-based, data driven, clinical research projects, while incorporating computer science and engineering skills to optimize research workflow. I also love to cook and play tennis!

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.

University of Iowa – College of Engineering                                     Expected Graduation Date: May 2024 

BSE, Electrical Engineering (Computer Track)                                                                                 Iowa City, IA

All-semester Dean’s list student; Ko-Chang and Maria Weiyi Pan Engineering Scholarship; Two year Hirt Scholarship. 3.90/4.0 GPA.