I led a team of 4 in my senior capstone project, sponsored by a Microsoft Accessibility for AI grant. Read more

Our goal was to design functional specifications for impactful web accessibility issues that can be addressed by machine learning solutions. On top of the human-centered design work that our whole team was doing, my role was to plan our time within sprints, create agendas, manage tasks in Trello, and lead the team through 10hrs of meetings / week. We are handing off three specifications to UT Austin's research group, which will create a dataset and send out a challenge that calls on corporations and research groups to implement the solutions. Check out our results here.

Last summer, I worked remotely for Microsoft's Autonomous Edge Team, developing a framework for distributed systems. Read more

I primarily worked on developing a command-line interface and React Web UI for visualizing distributed system data and interacting with product APIs. After finishing my main project, I experimented with solutions for dynamically serializing and deserializing Protobuf messages at runtime in Python and Javascript. Throughout the internship, I collaborated across different time zones, and organized shared resources and events among interns and new hires to promote sense of community.

As part of IDEO CoLab's 2020 fellow cohort, I participated in design thinking workshops, presentations, and networking events.

My team built a Meloditron that won 1st Place at MakeHarvard! (A hackathon with hardware and electronics)

With a grant from the PIT-UN, I co-founded a student-run public interest technology project team at Olin, called PInT. Read more

I co-founded PInT because I am passionate about using my skills to serve my communities, by creating experiential learning opportunities for myself and others to practice asking questions about how technology can both serve and harm the public interest. For the first year of PInT, I managed a student-run consulting clinic, which did pro-bono technical projects with non-profit partners. During this year, I also helped establish a peer:peer teaching skillshare program, design and launch a summer fellowship for 3 students, and hire + onboard a project coordinator employee. PInT's second year involved adapting our programs to meet student needs during the COVID-19 pandemic. Our team has grown from 5 to 60+ students in the past 1.5 years, and we have presented at foundational public interest technology events and conferences.

At Boston Scientific Neuromodulation, I developed an Android app and did systems work in Java, C++, and Matlab. Read more

As a systems R&D engineer, I worked closely with the algorithm code that computes electric potential fields for Boston Scientific's Spinal Cord Stimulator devices. Throughout the summer, I collaborated with another intern to develop an Android app proof of concept that mimicked the functionality of a medical device, then presented this project to various department directors and project stakeholders. During this internship, I also came up with a patent idea with my mentor, added production code to a library, and created a process for porting code from Matlab to Java, using C++ and JNI.

At GE Renewable Energy, I created REST APIs and guided a technical team's transition towards Scrum. Read more

During this internship, I taught myself Java, in order to create a REST APIs to automate a previously manual data transfer process. These APIs ended up saving 3 working hrs/day, 800 hrs /year. I also led a technical team’s transition to working in Scrum, acting as scrum-master, and using agile tools like Rally and Aha! to track progress. Lastly, I designed a front-end proof of concept for a meta data mapping web app using GE’s Predix/Polymer components for the UI.

At Dana Farber Cancer Institute's Zhao lab, I conducted wet-lab experiments, studying the PI3K cell signaling pathway. Read more

I spent two summers (2015 and 2016) at Dana Farber, researching the effects of the PI3K cell signaling pathway on cancer biology. I helped my mentors with literature review, developed hypotheses, and learned how to conduct my own wet-lab experiments involving western blots, cell imaging, qPCR, and RNA sequencing.