Alice S.
About Alice S.
Alice S. is a Math Instructor at Juni Learning and an Undergraduate Teaching Assistant at the University of Chicago, specializing in Quantitative Biology and Data Science. She has experience in DNA and protein sequence data analysis and has instructed various courses related to mathematical modeling in biology.
Work at Juni Learning
Alice S. has been employed as a Math Instructor at Juni Learning since 2020. In this role, she focuses on teaching mathematics to students, leveraging her expertise in quantitative biology and data science. Her responsibilities include developing course materials and engaging students in mathematical concepts relevant to biological sciences.
Current Role at University of Chicago
Alice S. serves as an Undergraduate Teaching Assistant at the University of Chicago since 2021. In this position, she supports faculty in delivering course content and assists students in understanding complex mathematical concepts. She leads in-person computer lab sessions for the Mathematical Methods for Biological Sciences course, emphasizing dynamic models and differential equations.
Educational Background
Alice S. studied at the University of Chicago from 2018 to 2022, where she earned a Bachelor of Arts degree. She specialized in Quantitative Biology and minored in Data Science. Prior to her university education, she attended Palo Alto High School from 2014 to 2018.
Professional Experience
Alice S. has diverse professional experience in various roles. She worked as a Student Intern at Stanford Health Care in 2017 for one month. In 2021, she served as an AIOps Data Scientist Software Engineer Intern at Red Hat for four months. Additionally, she worked as a Lifeguard at Stanford University from 2016 to 2018.
Interests and Specializations
Alice S. has a strong interest in bioinformatics and genomics. Her academic focus on quantitative biology, combined with her experience in DNA and protein sequence data analysis, positions her as a knowledgeable resource in these fields. She has also instructed a virtual lab section for the Introduction to Quantitative Modeling in Biology course, where she taught R coding and model creation.