Infrastructure and Algorithms for Data Collections
AI Core
Daniel Haehn
Nurit Haspel
Alexey Tonyushkin
Marc Pomplun
Dan Simovici
Bill Lotter
Greg Sorensen
Bits to Bytes 2020
OMAMA-DB: The Oregon-Massachusetts Mammography Database
8,000+ GB of Data available at the Harvard Dataverse
180+ Downloads
4 Publications (MIDL 2023, ICLR 2023, ISBI 2025, IJCARS 2025)
18 Students + 1 PostDoc trained
Our equipment includes
Alienware Linux Workstations
equipped with NVIDIA Geforce 2080 TI GPUs or better
2x NVIDIA DGX A100 Systems
2 TB RAM
30 TB Storage
8x A100 GPUs
High-Performance Switch
15 research groups at UMass Boston
65,791 GPU hours
26,000+ scheduled jobs
$40,000+ external industry revenue
NVIDIA DGX H200
1+ TB GPU Memory
Immersive Mentored Practicum for
A I-ML Career Training
Workforce Development
More information and collaboration inquiries: daniel.haehn@umb.edu
Thank you, MLSC!
Bits to Bytes: SPLEEN-US
Research Infrastructure:
AI Core Bioinformatics Hub