Guest Lecturer: STATS 295 - Special Topics in Machine Learning

Jan 15, 2025·
Spencer Hilligoss
Spencer Hilligoss
· 1 min read

Delivered two guest lectures for STATS 295, a graduate-level special topics course in machine learning:

  • Handling Data in R and Python, Web Scraping (January 15, 2025) — Covered data manipulation techniques across both languages and introduced web scraping methods for collecting data from online sources.

  • PyTorch Tutorial for Deep Learning (February 3, 2025) — Provided a hands-on introduction to deep learning using PyTorch, covering neural network fundamentals and practical implementation.

Teaching Machine Learning Deep Learning Python R
Spencer Hilligoss
Authors
Spencer Hilligoss
PhD Candidate in Statistics
Spencer Hilligoss is a PhD candidate in Statistics at the University of California, Irvine, advised by Dr. Annie Qu and Dr. Tianchen Qian. His research develops methods for causal mediation analysis, representation learning, and generative modeling of complex time series, with applications spanning personalized medicine, mobile health, and financial data. His work on causal mediation in continuous glucose monitoring was recently published in npj Metabolic Health and Disease.