Salah Assana
Machine Learning Engineer at Harvard Medical School
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolSalah Assana is a Machine Learning Engineer in Greater Boston with 10 years of experience applying ML, signal processing, and medical imaging to healthcare problems. At Harvard Medical School he sped up a free-breathing perfusion MRI sequence by 10x and deployed real-time models on Siemens scanners, bridging research and clinical workflows. His background spans embedded and full‑stack systems—from a contactless mmWave cardiovascular sensor at MIT Media Lab to scalable data lakes and NLP summarization at Booz Allen—so he moves ideas from prototype to production. Notably, he has repeatedly delivered large runtime and energy improvements (up to 3000% speedups and 50% energy savings) while integrating experimental scans into clinical settings, reflecting both technical depth and practical impact.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Summa Cum Laude, Master's degree, Computer Science, Summa Cum Laude at Massachusetts Institute of TechnologyAssociate's degree, Computer Science, Summa Cum Laude, Associate's degree, Computer Science, Summa Cum Laude at Northern Virginia Community CollegeBachelor's degree, Computer Science, Highest Distinction (Summa Cum Laude), Bachelor's degree, Computer Science, Highest Distinction (Summa Cum Laude) at University of Virginia
Stackoverflow
186reputation
20kreached
5answers
1question
Github Skills (18)
5g10
signal-processing10
privacy10
localization10
convolutional-neural-networks9
imaging9
3d8
monitoring8
sql6
android6
amazon-s36
linux6
amazon-web-services6
python6
hugo6
Programming languages (5)
Github contributions (5)
SalahAssana/5G-SCG
Sep 2018 - Aug 2021
Cardiovascular Activity Monitoring Using mmWaves
Contributions:3 commits in 2 years 11 months
monitoringcardiology5gfmcw-radarmmwave
SalahAssana/Lethe
Feb 2017 - Dec 2021
Project Lethe is a privacy-preserving indoor localization system designed to allow for room-level localization of individuals in a home or building.
Contributions:43 commits, 4 pushes in 4 years 10 months
localizationsensorsthermal-cameraprivacyindoor-localisation
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