Education

University of California | Berkeley

Doctor of Philosophy in Comparative Biochemistry, May 2022

Dissertation title: Genome-Wide Screen and Phenotypic Analysis of a Kaposi Sarcoma-Associated Herpesvirus Genome with Insights into Capsid Maturation.

Synopsis: Mutant library constructed by deleting every canonical and several uncanonical ORFs in a Kaposi-sarcoma associated herpesvirus (KSHV) genome using red-mediated mutagenesis. Phenotypic screening of mutants conducted by transfection of mutant viral BAC DNA into mammalian cells, followed by assessment of progeny generation, viral growth, viral gene expression, viral DNA replication, and capsid formation.  

  • Worked with a team of two other graduate students to develop a coherent reverse genetics workflow and generated a library of KSHV mutants.
  • Developed methods to analyze the effects of mutations on the viral life
  • Independently designed and established protocols and conducted experiments for analysis of KSHV mutant phenotypes in multiple mammalian cell lines and primary cells, including, immunofluorescence and electron microscopy, multicolor flow-cytometry, ultracentrifugation, viral titration (TCID50, plaque, ect), RT-qPCR/qPCR, western blotting, ELISA, cloning, transfection and more.
  • Worked with core facility staff to troubleshoot and optimize drafted protocols.
  • Led a team of undergraduate students focused on protocol implementation and data generation.
  • Analyzed and managed large data sets and discovered novel drug targets.

Masters in Public Health in the division of Infectious Diseases and Vaccinology, May 2016

Thesis Title: Serotyping clinical Salmonella isolates using Fourier Transform Infrared Spectroscopy 

Synopsis: Designed and created a database of FTIR spectra from an economically relevant sample of Salmonella serovars. Spectra were used in combination with unsupervised machine learning to create a modular artificial neural network (ANN) that classified unknown salmonella isolates. Validation of ANN classifications for unknown samples were done by classical serotyping and whole genome sequencing.  

  • Project lead who set their own hours and project timeline.
  • Designed and constructed a database of FTIR spectra from clinically and economically relevant serovars.
  • Designed and optimized a modular Artificial Neural Network (ANN) for the classification of unknown isolates.
  • External validation of ANNs using whole genome sequencing (WGS) and traditional antisera testing.
  • Worked with third party vendors and CDPH leadership in design, construction, and validation of ANNs

Publications

1) 2,4-dichlorophenoxyacetic acid (2,4-D) and risk of non-Hodgkin lymphoma: a meta-analysis accounting for exposure levels

2,4-Dichlorophenoxyacetic acid (2,4-D) is one of the most commonly used selective herbicides in the world. A number of epidemiology studies have found an association between 2,4-D exposure and non-Hodgkin lymphoma (NHL) but these results are inconsistent and controversial. A previous meta-analysis found no clear association overall but did not specifically examine high-exposure groups. We conducted a systematic review and meta-analysis of the peer-reviewed epidemiologic studies of the associations between 2,4-D and NHL, with a particular focus on high-exposure groups, and evaluations of heterogeneity, dose-response, and bias. A total of 12 observational studies, 11 case-control studies, and one cohort study, were included. The summary relative risk for NHL using study results comparing subjects who were ever versus never exposed to 2,4-D was 1.38 (95% confidence interval (CI), 1.07–1.77). However, in analyses focusing on results from highly exposed groups, the summary relative risk for NHL was1.73 (95% CI, 1.10–2.72). No clear bias based on study design, exposure assessment methodology, or outcome misclassification was seen. Overall, these findings provide new evidence for an association between NHL and exposure to the herbicide 2,4-D.

doi: 10.1016/j.annepidem.2017.03.003

Patents

Kaposi Sarcoma-associated herpesvirus gene function and methods for developing antivirals, anti-KSHV vaccines, and KSHV-based vectors, and compositions

Awards and Nominations

University of California Dissertation Year Fellowship Award

UC Berkeley is committed to recognizing and rewarding student’s contributions to diversifying the academy during their graduate careers and beyond. The purpose of this fellowship award is to provide funding to diverse doctoral students that allow them to prioritize and focus on completing the dissertation. Fellows will receive a $30,000 stipend, payment of in-state fees, travel allowance ($1,000 maximum) and $3,000 bonus for early dissertation filing. Student must have advanced to doctoral candidacy and completed two dissertation chapters or the equivalent, as confirmed by dissertation chair.

Entrepreneurship

Berkeley short I-Corps program

NSF I-Corps Training. Each month, NSF I-Corps Method offers a 1 week immersive course for university researchers and early stage startup founders. Received invitation/recommendation from teaching staff to apply to the national program.