Donald Bertucci
I am a senior at Oregon State University studying Computer Science and Mathematics. I'll be joining Georgia Tech as a Computer Science PhD student in the Fall.
I am very interested in visualization, the brain, neural networks, complexity, and information.
In the past, I've worked on visualizing neural networks and large-scale data as a member of the Data Interaction Group at Carnegie Mellon University and as a member of the Data Interaction and Visualization Lab at Oregon State University. I've been lucky to work with brilliant people like Dr. Minsuk Kahng , Dr. Alex Cabrera , Dr. Adam Perer , Dr. Dominik Moritz , and more!
Education
Starting Fall 2024
Ph.D. Computer Science
Georgia Institute of
Technology
2020 – Present
B.S. Computer Science
Oregon
State University
Experience
Summer 2023
Carnegie Mellon University
Research Intern, CMU Data Interaction Group (DIG)
Sep. 2022 – Jun. 2023
Carnegie Mellon University
Research Assistant, CMU Data Interaction Group (DIG)
Summer 2022
Carnegie Mellon University
REU Intern, HCII Summer Undergraduate Research Program
Aug. 2021 – Jun. 2022
Oregon State University
Research Assistant, Data Interaction and Visualization (DIV) Lab
Summer 2021
Oregon State University
EECS REU Summer Cohort
Feb. 2021 – June 2021
Oregon State University
REU Intern, URSA Engage Research Program
Publications
Conference
C3
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Ángel Alexander Cabrera
, Erica Fu
, Donald Bertucci
, Kenneth Holstein
, Ameet Talwalkar
, Jason I. Hong
, and Adam Perer
C2
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
Melissa Perez , and Minsuk Kahng
C1
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
Workshop
W2
Backprop Explainer: Interactive Explanation of Backpropagation in Neural Network Training
W1
An Interactive Introduction to Autoencoders
Research Projects
P5
ProteinScatter: Visualizing Fragments of Structurally Similar Proteins with a Scatterplot
P4
Visualizing Neural Network Compression
P3
FalconVis: A Library to Cross-Filter Billions of Data Entries on the Web
P2
Finding the Distance Function in the Poincaré Disk using Stereographic Projection
P1
Mirror: Interactive Discovery of Blindspots in Machine Learning Models
Donald Bertucci
, Ángel Alexander Cabrera
, Nari Johnson
, Gregory Plumb
, Erica Fu
, and Adam Perer