About Me
I'm an engineer joining AWS this summer in New York, NY. I have previously held internships at AWS, the Cigna Group, IBM, and AeroPest (autonomous AI drone startup for pest control).
Beyond engineering, I am interested in human-computer interaction and Generative AI safety, working to ensure that intelligent systems align with human needs and values. I have conducted this work during my undergraduate studies at Temple University under the supervision of Dr. Stephen MacNeil.
Publications
Hacking Student Leadership: Peer Mentorship and Leadership Skill Development Among Hackathon Organizers
Kush Patel, Andrew Tran, Christine Kapp, Daniel Bicalho, Yatri Patel, Chiku Okechukwu, Egi Rama, Stephen MacNeil. SIGCSETS, 2025.
Decoding logic errors: a comparative study on bug detection by students and large language models
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim. ACE, 2024.
Generating multiple choice questions for computing courses using large language models
Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H Smith, Stephen MacNeil. FIE, 2023.
Using large language models to automatically identify programming concepts in code snippets
Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil. ICER, 2023.
Prompt middleware: Mapping prompts for large language models to UI affordances
Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil. , 2023.
Comparing code explanations created by students and large language models
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas. ITICSE, 2023.
Experiences from using code explanations generated by large language models in a web software development e-book
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen. SICGSETS, 2023.
The Implications of Large Language Models for CS Teachers and Students
Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar. SIGCSETS, 2023.
Automatically generating CS learning materials with large language models
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa. SICGSETS, 2023.
Generating diverse code explanations using the gpt-3 large language model
Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang. ICER, 2022.