Undergraduate Researcher

• Jul 2023 - Present

Computational Neuroscience; on the neural basis of evidence accumulation, working memory, and decision-making Computational Neuroscience; on the neural basis of evidence accumulation, working memory, and decision-making

Research Intern

• Jun 2023 - Present

Graphical Neural Net, Graph Transformers Graphical Neural Net, Graph Transformers

Undergraduate Researcher

• Jan 2022 - Present

I currently work on understanding and developing Assembly of Neurons, a new model of computation and learning that is biologically plausible and geared towards higher-order reasoning and symbolic tasks. The goal is to establish them as a novel approach to understand biological learning and develop a learning system that is as powerful as the current Deep Learning techniques. Additionally, I analyze their properties like robustness and interpretability which are part of the shortcomings of DL through both theoretical and experimental approaches under a number of different data models and distributions, with an eye towards investigating their role in short term and long term memory. Presented two projects on Assembly Calculus at MIT Advances in the Quest to Understand Intelligence. Show less

Undergraduate Researcher (SuperUROP Scholar)

• Sep 2022 - Jun 2023

Develop effective and computationally tractable data selection method at large scale for Language Models. Demystify causal relationship of concept based interpretability in Network Dissection for constructing more aligned models. Develop effective and computationally tractable data selection method at large scale for Language Models. Demystify causal relationship of concept based interpretability in Network Dissection for constructing more aligned models.

Machine Learning Wintern @MAIDAP

• Jan 2023 - Feb 2023

Worked end-to-end on a Computer Vision based product for waste categorization with precision and low latency at NERD. Developed relevant training pipelines from ground up, as well as enabled model deployment with interpretability tools (via collaboration w/ Azure Machine Learning team and Microsoft Research) with convenient user web interface, as a part of Microsoft zero-waste commitment efforts via Microsoft AI Development Acceleration Program (MAIDAP); deployed deliverables with half of the expected time. The project was featured in Microsoft's T&R newsletter. Show less

Teaching Assistant for 6.S191 Introduction to Deep Learning

• Jan 2023 - Jan 2023

Undergraduate Assistant for 18.06 Linear Algebra

• Sep 2022 - Dec 2022

Was invited by the department to assist with teaching MIT’s largest foundation class in Linear Algebra with Professor Steven Johnson. Was invited by the department to assist with teaching MIT’s largest foundation class in Linear Algebra with Professor Steven Johnson.

Full Stack Software Engineer Intern

• May 2022 - Aug 2022

• Developed in-production features in FB core app under a data-driven approach using Objective-C, Hack (PHP), Javascript, GraphQL, A/B testings to close top-line 20% connection gaps originated in new monetization initiatives among over 60 million active business pages. • Pioneered Native Template → Bloks dev framework migration of this type as the first engineer across the entire Facebook App org. • Initiated and led cross-org collaborations to identify missing functionalities and close gaps in foundational NT → BK development cycle. • Authored and published guidelines, wiki, and documentations to teach senior engineers how to tackle migration that saves 50% time in research. Show less

Discovery Fellow

• May 2022 - May 2022

Selected as one of 37 recipients across the country (one of two recipients from MIT). The winner of the fan favorite vote and overall 3rd place under Collab Project team module. Selected as one of 37 recipients across the country (one of two recipients from MIT). The winner of the fan favorite vote and overall 3rd place under Collab Project team module.

Undergraduate Assistant for 18.600 Probability and Random Variables

• Jan 2022 - May 2022

Winner of 2022 MIT Department of Mathematics Teaching and Learning Award. Received teaching evaluations (on a 1–7 scale) of 7.0 (overall rating), which consists of 6.7 (stimulated interest), 7.0 (displayed thorough knowledge), and 7.0 (supported learning). Held weekly office hours, answered student questions and clarified concepts via class forum Piazza, acted as a resource for struggling students, wrote solutions for weekly problem sets, and graded exams for the class of 200+ students. Show less

SIG Trading Discovery Day Invitee

• Apr 2022 - Apr 2022

INSIGHT Invitee @Trading Track

• Jan 2022 - Jan 2022

Part of 35 students selected for Jane Street’s January INSIGHT trading program. Learned about mathematical and financial topics such as probability, market structure, and arbitrage through a combination of short classroom lectures, group games, and mock trading sessions led and coached by Jane Street traders. Part of 35 students selected for Jane Street’s January INSIGHT trading program. Learned about mathematical and financial topics such as probability, market structure, and arbitrage through a combination of short classroom lectures, group games, and mock trading sessions led and coached by Jane Street traders.

Undergraduate Student Researcher

• Feb 2021 - Jan 2022

Advisor: Prof. Hugh Herr Seek to advance technologies that promise to accelerate the merging of body and machine. This work leverages knowledge from the fields of biomechanics, neuroscience, robotics, and medicine. Responsibilities include • Design and fabricate electronic and software tools for optogenetic experiments and optical systems. • Lay foundation for the design of neural controllers for optically-modulated prosthetics, potentially the first viable alternative to Functional Electrical Stimulation in limb re-animation applications for leg amputees and stroke patients. Show less

FBU Engineering Intern @iOS Track

• Jun 2021 - Aug 2021

Under intensive 3-week long training, utilize objective-C, data querying, database cacheing, REST APIs and SDKs, and XCode in IOS app development to create mock Instagram app, mock Twitter app, mock movie-browsing app, and tip calculator app, in addition to many hands-on pair programming labs. Capstone project: independently wireframed, developed, tested, and demo’d an original IOS mobile app, end-to-end, over the span of 3 weeks, under the guidance of Facebook engineers. Under intensive 3-week long training, utilize objective-C, data querying, database cacheing, REST APIs and SDKs, and XCode in IOS app development to create mock Instagram app, mock Twitter app, mock movie-browsing app, and tip calculator app, in addition to many hands-on pair programming labs. Capstone project: independently wireframed, developed, tested, and demo’d an original IOS mobile app, end-to-end, over the span of 3 weeks, under the guidance of Facebook engineers.

INSIGHT Invitee @Software Engineering Track

• Jan 2021 - Jan 2021

Part of 30 students selected for Jane Street’s INSIGHT software engineering program. Learned and developed UI and backend of a snake game using OCaml; trained in trading and finance and wrote a python program to compete in Jane Street’s Electronic Trading Competition. Part of 30 students selected for Jane Street’s INSIGHT software engineering program. Learned and developed UI and backend of a snake game using OCaml; trained in trading and finance and wrote a python program to compete in Jane Street’s Electronic Trading Competition.

Undergraduate Student Researcher

• Aug 2020 - Jan 2021

Advisor: Prof. Benoit Forget Created open-source nuclear fast reactor Monte Carlo simulation geometry template for OpenMC global community using Python. Advisor: Prof. Benoit Forget Created open-source nuclear fast reactor Monte Carlo simulation geometry template for OpenMC global community using Python.

Genomics Research Intern

• Jun 2019 - Nov 2019

Advisor: Prof. Peter Andolfatto • Conducted an individual research project on Na+/K+-ATPase enzyme by exposing 30 fruit fly strains to cardenolides; • The first in the lab who applied two Genetic Association Studies using R; • Identified 4 SNPs significantly associated with cardenolides resistance with potentials to improve Cardiovascular Disease treatments; • Troubleshot independently and improved the previous protocol by saving half of the assay budget; • Awards: Regeneron Science Talent Search 2020 TOP40 Finalist, the nation’s oldest and most prestigious science research competition for high school seniors with $25k scholarship; Minor Planet #17245 YiXie was named after me. Show less

Research Assistant

• Dec 2018 - Mar 2019

I shadowed under Dr. Yumiko Aratani to help her analyze data from Compassion Satisfaction And Compassion Fatigue Survey (PROQOL), which would be used in public policy research related to public mental health services, to further identify effective policies and programs that can positively affect community development and well-being. I shadowed under Dr. Yumiko Aratani to help her analyze data from Compassion Satisfaction And Compassion Fatigue Survey (PROQOL), which would be used in public policy research related to public mental health services, to further identify effective policies and programs that can positively affect community development and well-being.

Research Assistant

• Oct 2018 - Dec 2018

I shadowed under Dr. Mu Yang to help her plot and analyze quantitative data gathered from CatwalkXT experiment, which helped to understand mice neurological manifestations and figured out the future step of medical applications. I shadowed under Dr. Mu Yang to help her plot and analyze quantitative data gathered from CatwalkXT experiment, which helped to understand mice neurological manifestations and figured out the future step of medical applications.

Teacher Assistant

• Dec 2017 - Mar 2018

• Responsible for tutoring for students of various ages from K-12. • Assisted with printing out class materials and distributed to every class. Graded students’ homework, and recorded their score tendency to analyze students’ performance on their study. • Prepared in TA Office anytime for any inquiries from teachers and students, as well as for emergencies. • Responsible for tutoring for students of various ages from K-12. • Assisted with printing out class materials and distributed to every class. Graded students’ homework, and recorded their score tendency to analyze students’ performance on their study. • Prepared in TA Office anytime for any inquiries from teachers and students, as well as for emergencies.