Sofia Vega Email & Phone Number

• Developed novel Bayesian matrix completion methods with spatio‐temporal smoothing, demonstrating improved performance through simulation studies and applying them to analyze traffic‐related air pollution effects on childhood cancer incidence, resulting in 4 conference presentations and an award‐winning paper (Preprint: http://arxiv.org/abs/2307.09546)• Utilized multitask Gaussian processes for causal inference to identify vulnerable subpopulations, revealing significant reductions in childhood lymphoma incidence among specific demographic groups following the EPA’s reformulated gasoline program, highlighting differential impacts of environmental policies on cancer risk• Analyzed Medicare inpatient claims data to assess the nonlinear relationship between wildfire smoke PM2.5 exposure and emergency hospitalizations for 13 clinical causes using advanced data extraction techniques and fixed effects models

Boston, Massachusetts, United States

• Led weekly instructional sessions for Applied Regression Analyses and Introduction to Statistical Methods courses, while providing personalized tutoring for the doctoral Methods course and master’s Statistical Inference course• Collaborated with faculty and other teaching fellows to enhance course materials, ensuring concepts were presented successfully

Boston, Massachusetts, United States

• Offered specialized expertise in biostatistics to doctoral and master’s students, aiding them refining research questions, developing hypotheses, selecting suitable study designs, and choosing appropriate statistical analyses for their dissertation and thesis projects• Communicated complex statistical concepts and analyses effectively to students with varying levels of statistical knowledge

Boston, Massachusetts, United States

• Collaborated with cross-functional teams to analyze medical records, depositions, and epidemiological research for a health litigation case, extracting critical information to support expert report drafting• Leveraged R to analyze electronic medical record (EMR) data, defining patient samples and characterizing treatment patterns for real-world drug outcomes studies• Conducted preliminary data exploration using SAS and SQL to describe disease characteristics and assess safety/efficacy data availability in EMR databases for multiple cancer types to inform project scoping for a healthcare client

University Of Florida

• Developed algorithms in MATLAB for anomaly detection in smart power grids, incorporating online updating functions with adaptive thresholds based on Mahanalobis distance and spatial information• Engineered plant‐based detection systems using Python and thermal imaging to identify chemical and biological threats, analyzing stomatal conductance changes for human health and agricultural monitoring

Gainesville, Florida, United States

• Taught two classes of Honors Probability and Statistics• Created lesson plans, activities, formative assessments, and summative assessments

Gainesville, Florida Area

• Taught three statistics labs of 120 students each semester for the introductory statistics course• Proctored exams, graded papers, attended weekly TA meetings, and reviewed lab material to teach

• Utilized Natural Language Processing and SQL queries in order to retrieve data from three electronic medical records (pharmacy records, medication‐herbal reports, clinical documents)• Improved hospital efficiency by comparing the accuracy and inclusivity of the records using statistical analyses and visualizations• Presented a poster of my findings at the National Institutes of Health Summer Poster Day

Gainesville, Florida Area

• Conducted data analysis and visualization utilizing MATLAB to model and determine randomness in rat behavior• Analyzed changes in network connectivity made immediately before, during, and after

Emory University

• Received intensive training in applied biostatistical methods through R and SAS workshops • Conducted data analysis exploring suPAR as a biomarker for chronic kidney disease• Drafted reports in LaTex and presented findings to professors and teaching assistants

Gainesville, Florida Area

• Assisted in research for Dr. Jacobbe’s Levels of Conceptual Understanding in Statistics (LOCUS) project • Assessed middle school students’ understanding of informal inference using free response exam questions• Recognized as 1st place for Outstanding Undergraduate Level Research Presentation in 2018's College of Education Research Symposium

Doctor Of Philosophy - Phd, Biostatistics

Masters, Biostatistics

Bachelor Of Science - Bs, Mathematics And Statistics

Bachelor Of Science - Bs, Statistics

Minor, Secondary Mathematics Education