Projects
Deep-learning driven treatment optimization for patients with chronic disease
Publications:
Manuscripts in draft.
Butte Lab
UCSF
Sep 2020 - present
Projects
Helped identify, characterize, and validate potential autoantigens associated with APS1 and other autoimmune diseases using peptidome-scale phage display
Developed more robust internal database architecture and analysis pipelines
Publications:
Vazquez SE, et al. Identification of novel, clinically correlated autoantigens in the monogenic autoimmune syndrome APS1 by PhIP-Seq. Elife. 2020 May 15;9:e55053.
Vazquez SE, et al. Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq. bioRxiv. 2022 Jan 1.
Rigby Lab
Geisel School of Medicine at Dartmouth
2017 Sophomore Scholar
2019 James O. Freedman Presidential Scholar
2019 Honors Biology Thesis
Projects
2017-2018: helped characterize post-translationally modified proteins identified as potential autoantigens in rheumatoid arthritis
Additionally assisted with computational analysis including protein docking simulations and de novo peptide modeling
2018-2019: independent thesis project identifying novel bacterial-immune interactions associated with pathogenic Pseudomonas aeruginosa
Lin Lab
National Institute of Aging (NIA/NIH)
2016 Summer Intern
NIA/NIH Barbara Hughes Award
Projects
Demonstrated how neutrophil extracellular traps (“NETs”), an innate immune defense mechanism, contribute to lung injuries common in sepsis
Independently designed and developed java-based software to count NETs in confocal microscope images using edge detection convolution kernels