Lotus Liu
About Lotus Liu
Lotus Liu is a Research Assistant at Yale University, specializing in biostatistics and data science. With experience in teaching assistance and data analysis across various institutions, Liu has contributed to research on opioid stigmatization and has co-authored a paper on machine learning in healthcare.
Work at Yale University
Currently, Lotus Liu serves as a Research Assistant at Yale University, a position she has held since 2021. In this role, she engages in research activities and contributes to various projects. Previously, she worked as a Graduate Teaching Assistant for Calculus I at Yale from 2021 to 2022, where she supported undergraduate students in their learning. Additionally, she served as a Statistical Consultant at the Yale Center for Clinical Investigation from 2021 to 2022, providing statistical expertise to research initiatives.
Education and Expertise
Lotus Liu studied at Yale University, where she obtained a Master of Science in Biostatistics with a Data Science Track from 2021 to 2023. She also holds a Bachelor of Science in Statistics from the University of Michigan, achieved from 2018 to 2021. Her educational background includes an International Baccalaureate Diploma and a Canada High School Diploma from Ridley College, completed from 2014 to 2017. Liu's expertise includes text mining and natural language processing, particularly in analyzing clinical notes.
Background in Data Analysis
Lotus Liu has a diverse background in data analysis and business roles. She interned as a Data Analyst at The Bank of East Asia, Limited in 2019 for three months. Additionally, she worked as a Business Analyst Intern at 中信建投证券 in Beijing, China, for two months in 2018, and at Citi for two months in 2019. These experiences have contributed to her analytical skills and understanding of data-driven decision-making.
Teaching and Academic Support Experience
Liu has significant experience in teaching and academic support roles. At the University of Michigan, she worked as a Teaching Assistant and Grader for STATS 250 from 2019 to 2020. She also served as a Calculus Academic Coach at the Stephen M. Ross School of Business from 2020 to 2021. These roles involved assisting students in understanding complex mathematical concepts and fostering their academic growth.
Research Contributions
Lotus Liu has co-authored a published paper focusing on machine learning models for classifying patients at risk of stigmatization. She is involved in developing lexicons aimed at identifying stigmatizing language related to opioid use and harm reduction strategies. Her research contributions reflect her commitment to advancing knowledge in biostatistics and data science.