Lia Ran Email & Phone Number

Los Angeles, Ca, Us

Uc San Diego

- Built a data pipeline using novel Bayesian clustering methods to analyze dynamic shifts in computer usage patterns.- Conducted research and development on high-dimensional Bayesian clustering techniques, experimenting to refine methodologies.- Developed a large-scale algorithm optimized for efficiency through parallelization and MCMC methods.- Queried and analyzed datasets to denoise and extract meaningful segments reflecting human behavior, leveraging SQL and DataGrip.

- Taught lower and upper division mathematical courses to a nontechnical audience effectively.- Organized and held weekly discussion sections and office hours for 100+ students.- Reinforced probability and statistics material through effective instruction and support.Student evaluations listed below

- Studied key topics in Reinforcement Learning and related fields under tutelage of Professor Adam Waterbury.- Developed and recreated Python simulations of RL topics (Gambler's Ruin, BlackJack, etc.)

- Tutored data science courses to assist teaching foundational programming and statistical concepts- Topics included critical concepts and skills in computer programming and statistical inference.- Helped to develop, grade, and aid student in solidifying their understanding of coursework.

- 1 of 30 students chosen by the National Science Foundation for the UC Santa Barbara's first Data Science Fellowship cohort.- Gained research experience and collaboration skills in executing the life cycle of a data science project by partaking in a year-long capstone. - Participated in discussions involving current statistical research trends on relevant datasets and how to implement these ideas through coding and various projects.- 1 of 30 students chosen by the National Science Foundation

- Developed an end-to-end data science project to analyze and enhance a meal-detection algorithm.- Designed KPIs to evaluate the efficiency of a nonparametric Gaussian machine learning model in the context of diabetes management.- Worked with big data, formulating strategies to handle nuances and biases effectively.- Regularly communicated findings to superiors through the creation of insightful visuals and clear, effective communication.

- Specialized in teaching students multiple levels of math- Basic, Algebra, Trigonometry, Calculus, and Statistics.- Developed articulate communication skills and professional conduct in order to contribute to a collaborative learning environment.

Master Of Science - Ms, Statistics, 3.9

Activities and Societies: Taught MATH11 & 183: Calculus-based Probability & Statistics & Statistical Methods Association for Women.

Bachelor Of Science - Bs, Mathematics And Statistics, 3.76 / 4.0

Activities and Societies: UCSB Data Science fellowship, Undergraduate Learning Assistant, Part-time Research Assistant- B.S. in Statistics.