I recently received my PhD in Statistics from Northwestern,advised by Bruce Spencer. My research focused on the impact of entity resolution on social network structure, with applications to public health.
I am interested in data science for social impact, particularly collaborative projects with NGOs and mission-driven organizations. I was a DSSG Fellow in Summer 2022, working to prioritize those at risk of homelessness for rental assistance.
Outside of statistics, you can find me sporting a tie-dye shirt, reading narrative non-fiction, going on a long run along Lake Michigan, or backpacking with friends.
Masters of Statistical Practice, 2017
BSc in Mathematics, 2016
February 2023: I successfully defended my thesis! I'm now Dr. Smith!!
Summer 2022: In Pittsburgh as a Data Science for Social Good fellow. My team is working with the Allegheny County Department of Human Services to allocate rental assistance to people who are most likely to become homeless in the near future.
June 2021: Proposed my thesis: The Impact of Entity Resolution on Observed Social Network Structure.
March 2021: Hosted the first virtual WiDS: Chicago!
January 2021: I was chosen as one of University of Chicago's CDAC inaugural Rising Stars in Data Science.
November 2020: My poster, Evaluating the Impact of Entity Resolution Error on Descriptive Network Metrics, won third place among PhD students at the New England Statistical Society's NextGen Data Science Day!
March 2020: Led a team of WiDS Ambassadors to host Women in Data Science (WiDS): Chicago, a 200+ person conference at Roosevelt University in downtown Chicago.
October 2019: Presented a poster and lightning talk, Evaluating the Impact of Entity Resolution Error on Descriptive Network Metrics, at the Women in Statistics & Data Science (WSDS) conference in Bellevue.
July 2019: I am a co-instructor for Intro to Statistics/Data Literacy at the Cook County Department of Corrections (CCDOC), part of the Northwestern Prison Education Program.
June 2019: I participated in the Summer Institute for Computational Social Science at the Chicago partner site. I worked with team of political scientists and sociologists on a R package and API that tracks metadata for qualitative coding. Update Oct. 2019: we recieved a seed grant to further develop Qualify: An R Package for Transparent Data Generation.
May 2019: Paper with anthropologist Dr. Sera Young was accepted for publication in the American Journal of Tropical Medicine & Hygiene.
March 2019: Hosted our first ever Women in Data Science “Data Dive”, collaborative with the Illinois Red Cross.
March 2019: Made open source contributions to the
broom package at the Chicago R Unconference.
Miller, J., Fitzgerald, K., Smith, A. Geophagy among a Cohort of Kenyan Women with Mixed HIV Status: A Longitudinal Analysis. The American Journal of Tropical Medicine and Hygiene, The American Society of Tropical Medicine and Hygiene, 22 July 2019, http://www.ajtmh.org/content/journals/10.4269/ajtmh.19-0149.
Ventura, S. Smith, A., et al. “Zika is Coming; and We Need Statistics”. Joint Statistical Meetings. Baltimore, MD. July 2017.
Smith, A., Tolbert, H. “An Analysis of Existing Record Linkage Software for the Syrian Conflict”. Human Rights Data Analysis Group. May 2017.
Smith, A. Zika is Coming; and We Need Statistics. CHANCE Magazine (American Statistical Association), Vol 29.3, September 2016, p. 17-26.
Additionally, I have shared my love for long-distance running as a coach for Girls on the Run-Chicago.
I am passionate about undergraduate teaching and mentorship. I currently serve as the graduate assistant chair at the International Studies Residential College (ISRC), facilitating academic programming and faculty engagement with the undergraduate residents.
I have served as a teaching assistant for courses both at Carnegie Mellon and Northwestern. During my masters year at CMU, I was a TA for the Experimental Design and Survey, Sampling, and Society courses and mentored Elaine Liu for her undergraduate thesis.
At Northwestern, I have served as the TA for STAT 202 (Introduction to Statistics), STAT 232 (Applied Statistics), STAT 425/325 (Survey Sampling), and our rad Data Science sequence.