Donny Bertucci
Previously Computer Science PhD student at Georgia Tech and Computer Science and Math undergrad at Oregon State University .
In the past, I've worked on visualizing neural networks, analyzing protein function, large scale data analytics, machine learning model interpretability, and explainable AI at the GT Visual Analytics Lab , OSU Venom Biochem Lab , CMU Data Interaction Group , and OSU DIV Lab .
Education
Ph.D. Computer Science
B.S. Computer Science
Experience
Georgia Institute of Technology
Graduate Research Assistant, GT Visual Analytics Lab
Oregon State University
Research Engineer, Venom Biochemistry and Molecular Biology Lab
Carnegie Mellon University
Data Visualization Research Intern, CMU Data Interaction Group (DIG)
Carnegie Mellon University
Research Assistant, CMU Data Interaction Group (DIG)
Carnegie Mellon University
Oregon State University
Research Assistant, Data Interaction and Visualization (DIV) Lab
Oregon State University
Research
[16]
VQ-VAE Explainer: Learn the VQ-VAE Implementation with Interactive Visualization
[15]
Explore ARC-AGI
[14]
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
[13]
DS569k Protein Embeddings Dataset
[12]
Venome: A System to Store and Analyze Venom Protein Function
Donald Bertucci
, Ansen Garvin
, Cora Bailey
, Amanda Sinha
, Michael Youkhateh
, and Nathan Mortimer
[11]
Random Number Generator with Elementary Cellular Automata in Matlab
[10]
ProteinScatter: Visualizing Fragments of Structurally Similar Proteins with a Scatterplot
[9]
Visualizing Neural Network Compression
[8]
FalconVis: A Library to Cross-Filter Billions of Data Entries on the Web
[7]
Finding the Distance Function in the Poincaré Disk using Stereographic Projection
[6]
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Alex Cabrera
, Erica Fu
, Donald Bertucci
, Kenneth Holstein
, Ameet Talwalkar
, Jason I. Hong
, and Adam Perer
[5]
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
Donald Bertucci
, Md Montaser Hamid
, Yashwanthi Anand
, Anita Ruangrotsakun
, Delyar Tabatabai
, Melissa Perez
, and Minsuk Kahng
[4]
Mirror: Interactive Discovery of Blindspots in Machine Learning Models
[3]
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based Reinforcement Learning
Kin-Ho Lam
, Delyar Tabatabai
, Jed Irvine
, Donald Bertucci
, Anita Ruangrotsakun
, Minsuk Kahng
, and Alan Fern
[2]
Backprop Explainer: Interactive Explanation of Backpropagation in Neural Network Training
[1]