Alumni spotlight 2019

From teaching college-level statistics to working as a data scientist at Microsoft, our newest alumni are off to some exciting new opportunities in the coming year. 

Kelsey Grinde

  • Future Plans: I will be starting a position this fall as a statistics teaching post-doc in the Department of Mathematics, Statistics, and Computer Science at Macalester College in St. Paul, Minn.
  • Dissertation: “Statistical inference in admixed populations”
  • Advisor: Sharon Browning
  • Recipient of the 2019 Thomas R. Fleming Excellence in Biostatistics Award

Arjun Sondhi

  • Future Plans: Quantitative Scientist, Flatiron Health
  • Dissertation: “Statistical miscellany: causality, networks, and bandits”
  • Advisor: Ali Shojaie

Phuong Vu

  • Future Plans: Biostatistician at Seattle Children’s Research Institute
  • Dissertation: “Dimension reduction for spatially-misaligned and multi-pollutant data with missing observations”
  • Advisor: Adam Szpiro
  • Recipient of the 2019 SPH Outstanding PhD Student Award

Brian Williamson

  • Future Plans: Postdoctoral fellow, Fred Hutchinson Cancer Research Center with Dr. Ying Huang
  • Dissertation: “A unified approach to nonparametric variable importance assessment using flexible estimation procedures”
  • Advisors: Marco Carone, Noah Simon
  • Recipient of the 2019 Exceptional Service in Biostatistics Award

Alexander Paynter

  • Future Plans: I will be working in a non-post-doc position - decision on where is not yet final
  • Thesis: “Tuning parameter selection for a penalized maximum likelihood estimator of species richness”
  • Advisor: Amy Willis
  • Recipient of the 2019 SPH Outstanding MS Student Award

Anqi Cheng

  • Future Plans: I'm going to work at Microsoft as a Data Scientist.
  • Dissertation: “Nonparametric and semiparametric estimation of distributional causal effect using instrumental variables”
  • Advisor: Gary Chan

Anu Mishra

  • Future Plans: Hoping to work in global health, development, and human rights
  • Advisors: Kathleen Kerr, Lurdes Inoue

Yuxiang Xie

  • Future Plans: Data Scientist at Snap Inc.
  • Dissertation: “Statistical methods for sparse binary, count data and treatment effect heterogeneity”
  • Advisor: Gary Chan

Weija Fu

  • Future Plans: Seeking full-time opportunities in industry or research institutes.
  • Thesis: "Statistical Issues in Microbiome Data Analysis: Batch Effects and Multi-Omics Analysis"
  • Advisor: Michael Wu
July 12, 2019