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

By Daniel Haehn

AI Core 2025

Machine Psychology at UMass Boston. See https://mpsych.org!

Hi, I am a biomedical imaging and visualization researcher who investigates how computational methods can accelerate biological and medical research.

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