I am a software engineer and researcher. I am currently the co-founder of a startup operating in stealth mode. Previously I got my masters degree at MIT where I worked in David Karger's Haystack group. I spent 4.5 years at MIT pursuing a PhD in HCI, but decided to leave academia so that I could deploy my ideas in the real world. I did my undergrad at Brown University where I studied computer science and led Andries van Dam's graphics lab.
During my time at MIT I spent a lot of time thinking about how to make software more malleable. Malleable software allows users to become creators, encourages feedback loops, supports the growth of communities, makes users more productive, and allows experts to encode their knowledge directly into a system.
I also spent a lot of time thinking about how to improve software for clinicians. Specifically, reducing time spent on documentation and retrieving information.
Links
Work Experience
- Co-Founder, Startup (2023 - Present)
- Masters CS/HCI PhD Dropout, MIT (2018-2022)
- Student Researcher/Visiting Researcher, Google (Summer/Fall, 2022)
- Research Collaborator, CoCHI, Aarhus University (Summer, 2021)
- Research Intern, Microsoft Research (Summer, 2020)
- Software Engineer Intern, Google (Summer, 2019)
- ML Intern, SpaceX (Summer, 2018)
- BSc. in CS, Brown University (2015-2018)
Publications
Opportunities for Automating Email Processing: A Need-Finding Study
S. Park, A. X. Zhang, L. Murray, and
D. R. Karger, “Opportunities for Automating Email Processing: A Need-Finding
Study,” in Proceedings of the 2019 CHI Conference on Human Factors in Computing
Systems, New York, NY, USA, May 2019, pp. 1–12. doi: 10.1145/3290605.3300604.
Fast, Structured Clinical Documentation via Contextual Autocomplete
D. Gopinath, M. Agrawal, L. Murray, S.
Horng, D. Karger, and D. Sontag, “Fast, Structured Clinical Documentation via
Contextual Autocomplete.” arXiv, Jul. 29, 2020. doi: 10.48550/arXiv.2007.15153.
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records L. Murray, D. Gopinath, M. Agrawal, S. Horng, D. Sontag, and D. R. Karger, “MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records,” in The 34th Annual ACM Symposium on User Interface Software and Technology, New York, NY, USA, Oct. 2021, pp. 1169–1183. doi: 10.1145/3472749.3474814.
Varv: Reprogrammable Interactive Software as a Declarative Data Structure
M. Borowski, L. Murray, R. Bagge, J.
B. Kristensen, A. Satyanarayan, and C. N. Klokmose, “Varv: Reprogrammable
Interactive Software as a Declarative Data Structure,” in Proceedings of the
2022 CHI Conference on Human Factors in Computing Systems, New York, NY, USA,
Apr. 2022, pp. 1–20. doi: 10.1145/3491102.3502064.