π€π¬π§¬ Multimodal Generative AI Researcher
New York, NY
About Me
- π Iβm a PhD-trained AI/ML expert who can find novel and creative solutions for text-to-image problems. I enjoy asking new questions and redefining existing ones.
- 𧬠π¨ πΈ My specialty is applying machine learning to microscopy and medical imaging, where I use physics and biology to deal with data challenges. Iβm also curious about exploring new domains and pushing the limits of machine learning.
- π€ Fun fact: I love transformers (the models, not the movies).
Selected Research
See my Google Scholar page for a full list of publications.
Experience
@May 1, 2023 β September 1, 2023
Student Researcher
Utilized vision transformers for learning on fetal ultrasound images
@June 6, 2022 β October 10, 2022
Graduate Student Researcher
Created the first text-to-image models using protein sequences (CELL-E 1 and CELL-E 2)
@March 2, 2020 β September 1, 2023
Research Associate
Memorial Sloan Kettering Cancer Center, Jan Grimm Lab
Made metamaterial nanoparticles for cancer imagingΒ
@September 1, 2016 β August 16, 2019
@March 1, 2018 β August 9, 2019
Education
PhD, Bioengineering
UC Berkeley - UCSF Joint Bioengineering Graduate Program
Graduate Certificate in Applied Data Science, UC Berkeley School of Information
@August 23, 2019 β September 6, 2023
MS, Electrical Engineering & Computer Science
@August 23, 2022 β May 6, 2023
BA, Biochemistry & Mathematics
@August 28, 2013 β May 23, 2017
Skills
Media Features
- Google Sidelines Engineer Who Claims Its A.I. Is Sentient, The New York Times, 06/02/22
- CCNY study breaks FΓΆrster resonant energy transfer (FRET) distance limit, AAAS EurekaAlert!, 10/25/18
- Research Newsletter, CUNY Research, 02/18/17
- HHS Senior Presents Work at CSH Lab, HUFSD, 04/09/13
- Suffolk: Science Bowl Winners, Newsday, 03/22/13