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Open Science: Systematic Review Protocol

Transgender and Gender Expansive Suicidology

Suicide is a preventable public health emergency. Despite demonstrated urgency in transgender populations, most LGBTQ+ suicide research omits or fails to separately report trans groups. It is critical to disambiguate sub-populations rather than treating all LGBTQ+ people as at uniform risk. So, I developed a protocol for a systematic review of the literature on transgender suicide risk.

chart displaying NIH institutes which have funded F31 research
Institute in Computational Social Science

Exploring Public Research Grant Data

As part of a summer cohort training in computational social science at the University of Québec in Montréal, I analyzed public grant data from the US and Canada to understand funding patterns and qualitative themes from project abstract text over time.


Visualizing Mixed-Scale Data

Supported by the Discovery Innovation Fund in Dr. Abby King's lab, Dr. Jessica Hinman and I have been exploring how to integrate quantitative and qualitative data at different scales into unified and informative data visualizations. This work was the subject of a recent invited submission for the Journal of Maps' special Mapping Health issue.

Shamsi stands on Hawk Hill behind a bicycle. The Bay is in the background.
AIDS LifeCycle 2023

I rode a bike from SF to LA— to help end AIDS.

In June 2023, I crossed an item off my bucket list: I rode 545 miles through California, raising over $5000 for the San Francisco AIDS Foundation and the Los Angeles LGBT Center.
Data Science for Social Good

Estimating Heating Loads in Alaska and Beyond

My summer fellowship team:

  • Used a geospatial-first approach to estimate heating loads in Alaska, training machine learning on building feature and climate data and expanding on existing location-constrained models
  • Produced the first statewide projection of heating loads for use by researchers and local decision makers
  • Presented our work at three separate conferences in 2022 – including my American Geophysical Union presentation, which won a student travel award
A person rides a bike in a SF bike lane

Data Linkage for Transportation Injury Prevention

My transportation injury work in San Francisco centered on a gold-standard surveillance system which probabilistically links medical records and police reports. I published a paper in the Journal of Safety Research detailing this surveillance system, which results in better estimates of injuries sustained by vulnerable road users and people of color– including critical injuries otherwise missed.

National Coding Guidelines

Advocacy: Filling the Micromobility Injury Data Gap

When thousands of inexpensive rentable e-scooters appeared in the Bay Area overnight, many users were upracticed at riding them. Anecdotes of injuries to riders and those they collided with proliferated, but there was no system to quantify injuries. As San Francisco's transportation injury epidemiologist, I worked with our trauma center to reliably identify vehicle types such as "hoverboard" and "e-scooter" in the patient medical record. To fill this gap at the national level, I co-authored a proposal to the CDC to amend the ICD-10-CM code set, along with a multidisciplinary team. This was adopted and implemented in October 2021, with a follow-on e-bike code proposal implemented October 2022.