San Francisco Bay Area
I'm a physician (MBBS) and clinical informaticist with 5+ years across UC Davis Health and Stanford Health Care. At Stanford, I work within the Research Technology Engineering Services group, building and maintaining clinical data pipelines that power STARR — Stanford's multimodal research data lake spanning Stanford Health Care, Stanford Health Tri-Valley, and Stanford Children's Health. Before that, at UC Davis Health, I worked directly with clinicians on EHR optimization. This means I understand healthcare data from both ends: where it's born at the point of care, and what it takes to make it usable downstream.
Within the Research Technology Engineering Services (RTES) group at Stanford Medicine, I build and maintain clinical data pipelines that power STARR — Stanford's multimodal research data lake spanning Stanford Health Care, Stanford Health Tri-Valley, and Stanford Children's Health. My work focuses on designing and implementing ETL pipelines, mapping clinical data to standard vocabularies, and transforming raw EHR data into research-ready formats using common data models including OMOP. A core part of this is building shared, scalable pipeline frameworks that can be adapted across different clinical domains and data sources — ensuring the work is reproducible and not siloed to a single use case. This involves close collaboration across clinical, technical, and informatics teams to ensure data is well-modeled, accurate, and ready for downstream research and analytics.
As a Clinical Informatics Specialist 3 in the Practice Experience Program (PEP), I worked at the intersection of clinical workflows and EHR systems — identifying where tools and workflows weren't aligned and designing solutions to fix them. Over 200 clinicians trained. This included Epic optimization work across EpicCare Ambulatory and Inpatient, stakeholder engagement up to the Chief Medical Officer (CMO), Chief Medical Informatics Officer (CMIO), and Chief Wellness Officer (CWO), and go-live support for both Epic and non-Epic third-party implementations including 3M M*Modal, Visage, and Abridge. Beyond training, I served as the point person for Epic Signal access provisioning across the health system, and used Python to clean and migrate historical EHR training data to Signal's new training interventions module. A significant part of this role was understanding not just EHR configuration, but the human and organizational dynamics that determine whether a clinical tool actually gets adopted.
Graduate Extern in the Practice Experience Program (PEP), focused on reducing EHR burnout among clinicians through a combination of Epic build enhancements during PEP engagements and 1:1 EHR efficiency training. Shadowed and assisted PEP team members in collaborating with faculty/resident physicians ambulatory and inpatient divisions, to provide a combination of Epic training and system optimization in order to facilitate specialty-specific clinical workflows.
Participate in meetings and represent student views to the MHI Executive and Educational Policy Committee and the Health Informatics Graduate Group as a whole, on matters relating to curriculum (quarterly course offerings, teaching evaluations for required core coursework, curricular policy recommendations) and by-laws.
Worked with James Marcin, MD, MPH in the Pediatric Telemedicine Program on the following digital health projects: 1. School-Based Tele-Physiatry Assistance for Rehabilitative and Therapeutic Services (STARS): Initiative to improve access to physical medicine & rehabilitation specialists through remote telehealth therapy units. Assessed effectiveness by surveying patients/caregivers. (https://health.ucdavis.edu/news/headlines/stars-offers-specialized-telehealth-services-to-kids-with-disabilities-in-rural-areas/2021/10) 2. Transport of Acutely Ill and Injured Children to Institutions of Higher Care from Allied Localities (TACTICAL): Eight-year federally-funded study on 24 hospitals across 13 counties. https://emscimprovement.center/programs/sproc/ - First author manuscript - Compiled information and records from the 8-year federally funded TACTICAL program, critically reviewed literature, drafted manuscript which was published in Pediatric Emergency Care (March 2022, doi: 10.1097/PEC.0000000000002658, PMID: 35226633)
Worked with Prabhu Shankar MD, MS, MRCP on CITRIS-funded studies to develop improved clinical risk calculator/scoring systems with machine learning algorithms using UC Davis Health patient data and widely used risk scoring systems (NSQIP, Khorana Score). Performed random forest regression utilizing Python and R programming to train, test and validate a predictive risk model and scoring system for: 1. Surgical site infection development in postoperative patients - Utilized Python to clean, process and analyze four years’ worth of multi-million row medication data obtained from the UC Davis Medical Center eMAR database. Random forest regression modeling with R. 2. Venous thromboembolism development in cancer chemotherapy patients - Accessed, extracted and processed patient data directly from UC Davis Health remote server through establishing an SSH tunnel with secure Jupyter notebook, utilizing Python, SQL. Random forest regression modeling with Python.
Intern in the Division of Public Health, Policy and Planning on multiple epidemiology projects including COVID-19 contact tracing data migration and syndromic surveillance, utilizing various data visualization and analytical platforms (R, STATA, Python, Power BI). Worked under the supervision of Rachel Curtis-Robles, PhD. - Assisted with Novel Coronavirus 2019 (nCOV-2019) data entry/cleaning, as well as county, CalREDIE and REDCap database merging to assist with the creation of dashboards and models.
Volunteer in the Division of Public Health, Policy and Planning on multiple epidemiology projects, utilizing various data platforms (Python, R, Tableau). - Prepared and drafted the 2019 State of the Youth Report: Report created every three years by San Mateo County Health, presenting data regarding various indicators of adolescent health. (Python & R programming, Tableau) - Animal Bites/Rabies Surveillance: Looked at five years of San Mateo County animal bite report and rabies surveillance data from various local and state-level databases, to clinically assess and improve post-exposure rabies reporting and prophylaxis practices among medical staff and providers in the county. (Python & R programming, Jupyter notebook, R markdown)
• March 2019-May 2019: Clinical Observer, University of California, San Diego Jacobs Medical Center /Rady Children’s Hospital, CA Accelerated Clinical Experience (ACE) Scholars Program for international physicians. Inpatient clinical exposure to NICU at Jacobs Medical Center and general pediatrics/ambulatory medicine at Rady Children’s Hospital. • June 2018-June 2018: Clinical Observer, Medical College of Virginia / VCU Health / Children’s Hospital of Richmond, VA Inpatient pediatrics observership with additional exposure to ambulatory care. • May 2018-May 2018: Clinical Extern, Hackensack Meridian Health / Hackensack UMC / Palisades Medical Center, NJ Inpatient family medicine externship with exposure to general inpatient medicine, newborn nursery and NICU. Hands-on patient contact with daily case presentations to residents and attending on rounds. • March 2018-April 2018: Clinical Observer, Drexel University College of Medicine / St. Christopher's Hospital for Children, PA Structured Clinical Preceptorship Program in Pediatrics, as part of the Drexel Physician Refresher/Re-Entry Course. • September 2015-October 2015: Sub-Intern, Pediatric Neurology, UMass Medical School, MA Hands-on patient contact and exposure to various childhood neurological illnesses through a largely outpatient hospital-based elective with inpatient consultation to wards, PICU & NICU. Case-based exposure to EEG and neuro-imaging.