Lucas A . Weissman
Shaping ideas into reality, one line of code at a time
About Me
I am a computer scientist passionate about artificial intelligence, natural language processing, and computer vision research, with a strong interdisciplinary focus on the societal and ethical implications of technology. My interests include generative AI, multimodal and agentic systems, and VR/AR applications. I aspire to contribute to research that bridges human creativity with computational power, advancing innovative and socially responsible technologies to address real-world challenges.
News Feed
- Start
- MAY 2024Graduated from Williams College with a B.A. in Computer Science and a Minor in Science and Technology Studies.
- APRIL 2024Attended the Brazil Conference at Harvard & MIT, exploring AI’s societal impact.
- APRIL 2023Attended the ACL 2023 Conference on Computational Linguistics in Vancouver, Canada.
- MAY 2023Presented 'Arbitrarily Long Context for Question Answering Tasks' at the Williams College Computer Science Symposium.
- FALL 2022Completed a Software Engineering Exchange Program at the Budapest University of Technology and Economics.
- AUGUST 2022Presented 'Using Topic-Focused Summarization to Understand Generated Abstractive Summaries of Language Models' at the Leadership Alliance National Symposium.
- SUMMER 2022Completed a National Science Foundation (REU) Fellowship at Brown University in Providence, focusing on computational research.
- JULY 2022Attended The Leadership Alliance National Symposium conference in Hartford, CT, poster presentation.
- SPRING 2022Completed the A.I for Computational Creativity Brown University and Google Research (exploreCRS) program.
- MAY 2022Presented a VR accessibility tool project at the 7th Annual Brown University CS Undergraduate Research Symposium.
- SEPT 2021Attended the IEEE Quantum Computing & Engineering Webinar on innovation.
- APRIL 2019Attended the Brazil Conference at Harvard & MIT, exploring Brazil’s future.
- APRIL 2018Attended the Phi Theta Kappa Annual Convention on honor society leadership and academics in Kansas City.
My Reads
#AI #Society #Ethics #HCI #Culture #Work #Cognitive
My Tool Box
Technologies I’ve been tinkering with!
From Theory to Practice
Research Projects
~more updates to come~
Compositionality in Diffusion Models
At Lunar Lab under the mentorship of Dr. Ellie Pavlick, I explored stable diffusion techniques for concept binding in image generation. Using TensorFlow and models like DALLE, Stable Diffusion, and CLIP, I investigated compositionality and prompt engineering for 2D/3D geometric shapes.
Authors: L. Weissman, E. Pavlick
Explainable Abstract Summarization
Conducted as part of the Artificial Intelligence for Computational Creativity, an NSF Summer REU Site under the mentorship of Dr. James Tompkin, this research project investigated the use of topic-focused summarization to evaluate the quality of abstractive summaries generated by large language models.
Authors: L. Weissman, C. Chen, R. Patel, J. Tompkin
Artificial Intelligence and the Arts
Under the supervision of Dr. James Tompkin, me and my colleagues explored how AI can enhance accessibility in virtual learning environments. Conducted as part of the Google exploreCSR Program, the project focused on socially-responsible AI for computational creativity. Presented at the 7th Annual Brown CS Undergraduate Research Symposium, it was awarded as Best Creative Research Project.
Authors: L. Weissman, L. Stevens, J. Steigelman, M. Bouabid, J. Tompkin
Beyond Code
Gallery
~ moments I have captured and lived ~
We can create something amazing together :)
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