Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Epigenetics, Aging, and Early Life
Published in Environmental Epigenetics in Toxicology and Public Health, 2020
This chapter discusses different epigenetic clock models.
Unsupervised cell segmentation by fast Gaussian Processes
Published in arXiv, 2025
This manuscript discusses an automatic cell microscopy image segmentation method using Gaussian processes for smoothing, novel adaptive thresholding criteria for detecting foreground objects, and watershed for segmentation.
talks
Time Series Feature Engineering for Clinical Trial Site Selection
Published:
I presented my internship work on time series feature engineering for improving clinical trial site enrollment prediction models for site selection at Johnson & Johnson’s summer intern research symposium.
Unsupervised Cellular Boundary Detection by Gaussian Process
Published:
I have presented my research on unsupervised cellular boundary detection methods for UCSB’s Accepted Students Day in both 2024 and 2025.
Unsupervised Cell Segmentation by Fast Gaussian Processes
Published:
I was invited to present my research on unsupervised cell image segmentation methods for my department’s International Women in Mathematic Day Research Seminar.
Methods for Supplementing Clinical Trial Data with External Electronic Healthcare Records
Published:
I presented my internship work on incorporating electronic healthcare records as an external control arm into clinical trial analyses at the 12th American Statistical Association (ASA) New Jersey Chapter / Bayer Workshop.
teaching
PSTAT120A: Statistics and Probability
Undergraduate course, UCSB, PSTAT, 2020
For Fall 2020, Winter 2021, and Fall 2021, I was a teaching assistant for Statistics and Probability (PSTAT120A), an undergraduate introductory statistics course.
PSTAT10: Principles of Data Science in R
Undergraduate course, UCSB, PSTAT, 2021
For Spring 2021, I taught Principles of Data Science in R (PSTAT10), an undergraduate introductory course to data analysis using R and SQL.
PSTAT130: SAS Base Programming
Undergraduate course, UCSB, PSTAT, 2021
For Summer 2021, Winter 2022, Summer 2022, and Fall 2023, I was a teaching assistant for SAS Base Programming (PSTAT130), an undergraduate course geared to prepare students for the SAS certification exam. For Summer 2023, I was the teaching associate (lead instructor).
PSTAT134/234: Statistical Data Science
Undergraduate/Graduate course, UCSB, PSTAT, 2021
For Fall 2021 and Spring 2024, I was a teaching assistant for Statistical Data Science (PSTAT134/234), a cross-listed undergraduate/graduate course covering techniques in data science in Python.
PSTAT100: Data Science Concepts & Analysis
Undergraduate course, UCSB, PSTAT, 2022
For Spring 2022, I was a teaching assistant for Data Science Concepts and Analysis (PSTAT100), an undergraduate introductory data science course utilizing Python.
PSTAT5LS: Statistics for Life Sciences
Undergraduate course, UCSB, PSTAT, 2023
For Winter and Spring 2023, I was the head teaching assistant for Statistics for Life Sciences (5LS), an introductory course to statistical techniques relevant for life sciences.
PSTAT131/231: Introduction to Statistical Machine Learning
Undergraduate course, UCSB, PSTAT, 2024
For Fall 2022, Fall 2023, and Winter 2024, I was a teaching assistant for Introduction to Statistical Machine Learning (PSTAT131/231), a cross-listed graduate/undergraduate course on machine learning techniques in R.
PSTAT175: Survival Analysis
Undergraduate course, UCSB, PSTAT, 2025
For Fall 2025, I am teaching PSTAT175 (Survival Analysis), an undergraduate course covering survival analysis topics in R.