Emily Javan is a PhD candidate in Evolution, Ecology, and Behavior at UT Austin and part of the UT Austin COVID-19 Modeling Consortium advised by Dr. Lauren Ancel Meyers. She is currently interested in hospital utilization over the COVID-19 pandemic and during prior influenza seasons. She received her BS in Applied Mathematics from UC Davis with a minor in Evolution, Ecology, and Biodiversity and her MS in Population and Conservation Biology from Texas State University.
She/her/hers
United States
Li H, Wang F, Zhang R, Qin A, Javan E, Reddy R, Harper L, Hung P, Kang Y. (2026). Measuring maternal healthcare accessibility in Florida by a data-driven extension of V2SFCA. Health & place, (98)
Gibson GC, Fox SJ, Javan E, Ptak SE, Ibrahim OM, Lachmann M, Meyers LA. (2025). Improving outbreak forecasts through model augmentation. Proceedings of the National Academy of Sciences of the United States of America, 122(43)
Fox SJ, Javan E, Pasco R, Gibson GC, Betke B, Herrera-Diestra JL, Woody S, Pierce K, Johnson KE, Johnson-León M, Lachmann M, Meyers LA. (2023). Disproportionate impacts of COVID-19 in a large US city. PLoS computational biology, 19(6)
Kun E, Javan EM, Smith O, Gulamali F, de la Fuente J, Flynn BI, Vajrala K, Trutner Z, Jayakumar P, Tucker-Drob EM, Sohail M, Singh T, Narasimhan VM. (2023). The genetic architecture and evolution of the human skeletal form. Science (New York, N.Y.), 381(6655)
Flynn BI, Javan EM, Lin E, Trutner Z, Koenig K, Anighoro KO, Kun E, Gupta A, Singh T, Jayakumar P, Narasimhan VM. (2023). Deep learning based phenotyping of medical images improves power for gene discovery of complex disease. NPJ digital medicine, 6(1)
Javan EM, Fox SJ, Meyers LA. (2023). Estimating the undetected emergence of COVID-19 in the US. PloS one, 18(4)
Kun E, Javan EM, Smith O, Gulamali F, de la Fuente J, Flynn BI, Vajrala K, Trutner Z, Jayakumar P, Tucker-Drob EM, Sohail M, Singh T, Narasimhan VM. (2023). The genetic architecture of the human skeletal form. bioRxiv : the preprint server for biology
Fox SJ, Lachmann M, Tec M, Pasco R, Woody S, Du Z, Wang X, Ingle TA, Javan E, Dahan M, Gaither K, Escott ME, Adler SI, Johnston SC, Scott JG, Meyers LA. (2022). Real-time pandemic surveillance using hospital admissions and mobility data. Proceedings of the National Academy of Sciences of the United States of America, 119(7)
Du Z, Javan E, Nugent C, Cowling BJ, Meyers LA. (2020). Using the COVID-19 to influenza ratio to estimate early pandemic spread in Wuhan, China and Seattle, US. EClinicalMedicine
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