Aug 2021 - Present
Machine Learning PhD Student
Georgia Tech, Atlanta, GA
May 2018
Master of Engineering: Electrical and Computer Engineering
Duke University, Durham, NC
May 2017
Bachelor of Science in Engineering: Biomedical Engineering
Duke University, Durham, NC
Sep '18 - Present
IBM Research
Visual AI Lab, Cambridge, MA
Member of the Visual AI Lab where we use visualization to breathe insight and interactivity into powerful AI systems.
Summer '17
Medtronic Diabetes
Algorithms R&D, Northridge, CA
Analyze trends in patient blood glucose levels for the sensor R&D team, developing algorithms that were incorporated into product by the end of the summer.
Aug '21 - present
Georgia Institute of Technology
Mentor:
Member of the Polo Club of Data Science where we innovate scalable, interactive, and interpretable tools that amplify human's ability to understand and interact with billion-scale data and machine learning models.
Apr '15 - May '17
International Genetically Engineered Machine (iGEM)
Lynch Lab, Durham, NC
Designed experiments to analyze CRISPR-Cas9 binding effects in bacteria, using machine learning to discover patterns in the data.
Best Poster Award
Oct. 2024
Transformer Explainer receives Best Poster at IEEE VIS 2024
Best Poster Award
Mar. 2024
Energy Transformer receives 2nd place🥈 in GATech's annual Graduate Poster Symposium
Best Paper Award, Honorable Mention
July 2023
DiffusionDB receives a Best Paper, Honorable Mention Award at ACL 2023
Spotlight Paper Award
Dec. 2022
HAMUX is spotlighted (top 5 submissions) at the Deep Learning and Differential Equation Workshop at NeurIPS 2022
Highlighted Reviewer
Apr. 2022
ICLR 2022
Best Poster Award
July 2020
RXNMapper wins Best Poster award at #IOPPoster 2020
Best Demo Award
Dec. 2020
LMdiff is Best Demo at NeurIPS 2020
(Runner Up) Best Demo
Dec. 2019
exBERT is runner up for Best Demo at NeurIPS 2019
Dean's List
2013-2017
In the highest one third of engineering class by GPA at Duke
Raul Buelvas Award
Apr. 2014
Given to one freshman at Duke University who "best exemplifies honor, optimism, and selflessness" as voted by peers and faculty
Energy Transformer
Conference on Neural Information Processing Systems (NeurIPS). 2023.
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
ACM International Conference on Information and Knowledge Management (CIKM). 2023.
exBERT: A Visual Analysis of Transformer Models
Association for Computational Linguistics: System Demonstrations (ACL). 2020.
Hopfield Networks 2.0: Associative Memory for the Modern Era of AI
Energy Transformer
HAMUX: Inventing Hopfield Networks 2.0
Georgia Tech CSE Hotseat
Nov 2022
Comparing Language Models with LMDiff
Demo at NeurIPS 2020
Dec 2020
exBERT: Exploring Learned Embeddings in Transformer Models
System Demonstration at ACL 2020
Jul 2020
IBM Exposition Demo at ICLR 2020
Apr 2020
System Demonstration at NeurIPS 2019
Dec 2019
Unsupervised Attention Guided Atom Mapping with RXNMapper
ML Interpretability for Scientific Discovery Workshop at ICML 2020
Jul 2020
IBM Exposition Demo at ICML 2020
Jul 2020
Breaking the Wall of Black Box AI
Falling Walls Lab Boston"
Oct 2020
The Inside Story
MEng Graduation elected speaker
Invited
May 2018
Using Matlab's PRT to Accelerate Algorithm Development
Medtronic Diabetes R&D
Jul 2017
The Impact of Encouragement
Fall '23 - Spring '24
Graduate Teaching Assistant
Instructors:
Organized project teams, graded projects, and held weekly office hours for an online graduate course with 947 students enrolled.
Spring '18
Graduate Teaching Assistant
Duke University, Durham, NC
Instructor:
Designed homeworks, supervised projects, and occasionally teach lectures.
Spring '18
Graduate Teaching Assistant
Duke University, Durham, NC
Instructor:
Supervised and graded capstone projects where students designed and assembled 2-channel EEG readers
Spring '18
Graduate Teaching Assistant
Duke University, Durham, NC
Instructors:
As a TA, I helped setup class infrastructure (Python, jupyter) and initial curriculum for this 25 student pilot course for Duke's Data+ Program.
Spring '17
Undergraduate Teaching Assistant
Duke University, Durham, NC
Instructor:
Prepared, supervised, and graded labs where students designed medical devices such as Ultrasound, ECGs, Baby Incubators, and functional FitBits.
Jan '15 - May '18
Undergraduate Teaching Assistant
Duke University, Durham, NC
Instructor:
Graded homeworks, held weekly office hours, supervised labs, and private tutored students.
Jan '16 - May '17
Boeing Fellow
Duke University, Durham, NC
Instructor:
Wrote STEM lesson plans to engage middle and high school students in the Durham area.
Reviewer
Neural Information Processing Systems (NeurIPS) 2024 ·2023 ·2021
International Conference for Learning Representations (ICLR) 2025 ·2024 ·2023 ·2022
International Conference for Machine Learning (ICML) 2023 ·2022
Workshop on Associative Memory & Hopfield Networks at NeurIPS (AMHN@NeurIPS) 2023
Blogpost Track at ICLR (BP@ICLR) 2023
Workshop on the Symbiosis of Deep Learning and Differential Equations at NeurIPS (DLDE@NeurIPS) 2022
ACM Conference on Human Factors in Computing Systems (CHI) 2023
Committee
Associative Memory & Hopfield Network Workshop (AMHN@NeurIPS) 2023