Successfully proposed my dissertation, titled “Balancing Exploration and Exploitation: Sequential Decision Making in Humans and Machines.”

Funded by a Presidential Fellowship from Tata Consultancy Services.


Presented workshop at the XI Latin American Conference on Human Computer Interaction in Puebla, Mexico.

Named Opportunity Scholar for posit::conf(2023) in Chicago and attended conference.

Received Presidential Fellowship from Tata Consultancy Services, which funds my PhD for 2024.

Completed Applied Scientist Internship at Amazon Science and Amazon Web Services, with Machine Learning University. Developed course on bias and fairness in large language models, and taught hundred of Amazon employees topics in machine learning, including generative AI.

Attended and presented at Ellis Alicante-DDMLab Workshop in Alicante, Spain.

Published interactive article on Reinforcement Learning with Amazon’s Machine Learning University.


Completed Applied Scientist Internship at Amazon Science and Amazon Web Services, with Machine Learning University. Published interactive article on Logistic Regression, featured on Amazon Science Blog.

Presented first-authored paper at CogSci 2022.

Presented first-authored paper at Virtual MathPsych/ICCM 2022.

Featured in a press release on our paper: Emily is so 2000: Research explores why popular baby names come and go.


Passed Ph.D. qualifying exams.


Started a Ph.D. in Cognitive Decision Science in the Department of Social and Decision Sciences at Carnegie Mellon University.

Graduated Magna Cum Laude from Brown University with a Bachelor of Science with Honors in Statistics and a Bachelor of Arts in Behavioral Decision Sciences. Won the Thesis Award for Statistics and the Premium for Excellence in Behavioral Decision Sciences.

Hosted Fifth Annual Brown Datathon as President of the Brown Data Science Club.

Featured in the Meeting Street Podcast: The History and Science of Virtual Reality, Cogut Institute for the Humanities at Brown University.

Won the American Statistical Association StatsGrad Award.


Interviewed by the Brown Department of Computer Science regarding Computer Science for Societal Good.


Featured by the Brown Data Science Initiative regarding my experiences in data science, titled “The Wonderful World of Women in Data Science.”

Won the Disney Data & Analytics Women Scholarship. Attended the Disney Data & Analytics Conference in Orlando, Florida to receive award and present research.

Presented our paper at the International Society for Music Information Retrieval in Paris, France.

Won the Outstanding Poster Award at the Joint Mathematics Meetings.