Joshua Abramson
Research Engineer at Google DeepMind
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJoshua Abramson is a research engineer at Google DeepMind with six years of industry experience and a strong quantitative foundation from a PhD in Statistics at UC Berkeley. He transitioned from finance—roles in credit and fixed-income quant teams at J.P. Morgan and Barclays—into machine learning research, bringing rigorous probabilistic and stochastic modelling skills to applied AI problems. His academic background in mathematics and statistical science (Cambridge) underpins a methodical approach to complex modelling and inference. At DeepMind he applies tools from probability theory to scalable research engineering, bridging theoretical insights and production-ready systems. Colleagues describe him as someone who thrives on translating dense theory into practical algorithms and who retains a curiosity for data-driven fieldwork dating back to early research stints like at the British Antarctic Survey.
6 years of coding experience
2 years of employment as a software developer
PhD, Statistics, PhD, Statistics at University of California, BerkeleyMPhil, Statistical Science, MPhil, Statistical Science at University of Cambridge
Github Skills (3)
machine-learning5
deep-learning4
pytorch4
Programming languages (2)
Github contributions (4)
deepmind/tvt
Nov 2019 - Nov 2019
Contributions:1 commit in 1 day
google-deepmind/alphafold3
Nov 2024 - Apr 2025
AlphaFold 3 inference pipeline.
Contributions:86 comments, 40 issues in 4 months
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