Eli Sennesh
Research Engineer at VERSES
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEli Sennesh is a research scientist in Boston with 16 years of experience at the intersection of probabilistic modeling, deep learning, and systems engineering. Currently developing factorized generative models that map continuous sensory signals to discrete concepts, he blends cognitive-science–driven research with practical software work from firmware to full-stack services. His background spans academic postdoctoral work and a PhD-focused career in variational Bayesian methods for affective neuroscience, alongside industry roles building production systems and protocols (including a Greybus bootrom deployed in devices). An active open-source contributor, he has implemented shaped-window features in the SDL library and integrated neural vision models into media pipelines. Eli’s work is notable for tying low-dimensional affect measures to observable action through measurable body signals, pursuing non-obvious links between perception, emotion, and behavior.
16 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Technion - Israel Institute of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern UniversityBSc Computer Science, BSc Computer Science at University of Massachusetts Amherst
English, Hebrew
Stackoverflow
21reputation
3kreached
0answers
2questions
Github Skills (11)
c1710
c1110
api-design10
sdl10
ws-api9
winapi9
wp-api9
x117
python6
read-the-docs6
applescript6
Programming languages (7)
Github contributions (5)
SDL-mirror/SDL
May 2010 - Aug 2010
Automated mirror of https://hg.libsdl.org/SDL/
Role in this project:
Back-end Developer
Back-end DeveloperContributions:61 commits in 2 months
Contributions summary:Eli appears to be primarily focused on developing features related to shaped windows within the SDL (Simple DirectMedia Layer) library. Their contributions involved adding and modifying code for the SDL_shape module, including the creation of new API functions, the implementation of quad-tree shape representations, and the integration of color-key and binarization alpha modes. The user also worked on the Win32 and X11-specific implementations of the shaped window functionality.
sdl
neu-pml/discopyro
Jun 2020 - Jul 2022
A generative model of compositionality in symmetric monoidal (Kleisli) categories
Contributions:185 commits, 16 PRs, 114 pushes in 2 years 1 month
ssreflectcompositionalitysymmetricgenerative-modelkleisli
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