Benjamin Hoover
AI Interpretability & Visualization Research Engineer
Education
May 2018
Master of Engineering: Electrical and Computer Engineering
Duke University, Durham, NC
GPA: 4.00/4.00, Emphasis on Big Data and Signal Processing
May 2017
B.S.E. in Biomedical Engineering
Duke University, Durham, NC
GPA: 3.91/4.00, Magna Cum Laude, Emphasis on Neurobiology and Imaging
Research Experience
Sep '18 - Present
IBM Research, Cambridge, MA
Research Engineer, Visual AI Lab
Summer '17
Medtronic Diabetes, Northridge, CA
Research Intern, Algorithms
Apr '15 - May '17
Undergraduate Research Assistant, Bass Connections & Lynch Lab
Publications
2021
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
ICLR 2021
2021
Joseph Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Anjali Katta, Katherine Hoffmann Pham, Benjamin Hoover, Hendrik Strobelt, Rebeca Moreno Jimenez, Aidan Sedgewick, Egmond Samir Evers, David Kennedy, Sandra Harlass, Allen Gidraf Kahindo Maina, Ahmad Hussien, Miguel Luengo-Oroz
medRxiv
PDF
BibTeX
2020
Science Advances 2021, #IOPPoster, SCS Fall 2020, ICML 2020 Workshop: AI for Scientific Discovery, ACS Fall 2020
2020
NeurIPS 2020: Demo
2020
Enara Vijil, Payel Das, Samuel Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
NeurIPS 2020, Spotlight Poster
2020
IEEE Vis: VisXAI Workshop
2020
ACL 2020: System Demonstrations
2017
Eirik Adim Moreb, Benjamin Hoover, Adam Yaseen, Nisakorn Valyasevi, Zoe Roecker, Romel Menacho-Melgar, Michael D. Lynch
American Chemical Society (ACS): Synthetic Biology
PDF
BibTeX
Talks
Can a Fruit Fly Learn Word Embeddings?
March 2021
TransferLearning Event
LMDiff: Comparing Language Models
Dec 2020
NeurIPS Demo
Breaking the Wall of Black Box AI
Oct 2020
Falling Walls Lab Boston
exBERT: Exploring Learned Embeddings in Transformer Models
Jul 2020
ACL: System Demonstrations
Apr 2020
ICLR: IBM Exposition Demo
Dec 2019
Neurips: System Demonstrations
RXNMapper: Unsupervised Attention Guided Atom Mapping
Jul 2020
ICML: ML Interpretability for Scientific Discovery Workshop
Jul 2020
ICML: IBM Exposition Demo
Using Matlab's PRT to Accelerate Algorithm Development
Jul 2017
Medtronic Diabetes R&D
The Inside Story
May 2018
Duke University: MEng Graduation
The Impact of Encouragement
May 2013
Cary Christian School Graduation
Teaching
Spring '18
Duke University, Durham, NC
Pattern Recognition Technology
(ECE 681)
Instructor:
Patrick Wang
Design homeworks, supervise projects, and periodically teach lecture, a graduate course with 60 students
Spring '18
Duke University, Durham, NC
Supervised and graded capstone design projects where students designed, printed, and built a 2 channel EEG reader
Spring '18
Duke University, Durham, NC
Helped setup class infrastructure (Python, jupyter), discussed curriculum planning, held office hours, and graded exams for this 25 student pilot course for Duke's Data+ Program.
Spring '17
Duke University, Durham, NC
Prepared, supervised, and graded labs where students designed medical devices such as Ultrasound, ECGs, Baby Incubators, and functional FitBits.
Jan '15 - May '18
Duke University, Durham, NC
Graded homeworks, held weekly office hours, supervised labs, and private tutored students.
Jan '16 - May '17
Duke University, Durham, NC
Instructor:
Carmen Rawls
Wrote STEM lesson plans to engage middle and high school students in the Durham area.