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Rati Gelashvili

Distributed-computing researcher; PhD MIT; blockchain research (Aptos Labs, Novi/Diem); ex-Neural Magic; interned at Google, Facebook, Akamai, Microsoft Research, Dropbox and D.E. Shaw
Aptos Labs · United States · engineer

Distributed-systems researcher (PhD MIT; postdoc U. Toronto) working on the complexity of synchronization, population protocols and concurrent data structures. Industry: Neural Magic (Senior Algorithms Lead), Novi/Facebook (Research Scientist), and founding-team researcher at Aptos Labs. Early internships at Google, Facebook, Akamai, Microsoft Research, Dropbox and D.E. Shaw (quantitative hedge fund).

Rati Gelashvili is a distributed-computing researcher and engineer. He did his PhD in the Multicore Algorithms Group at MIT under Prof. Nir Shavit, then was a postdoctoral fellow at the University of Toronto with Prof. Faith Ellen, before two years at Neural Magic as Senior Algorithms Lead and then research at Novi (Facebook) on blockchain scalability (Diem). He was a founding-team Blockchain Researcher at Aptos Labs. As a high-school student in Georgia he competed at the IMO (2006, 2007) and IOI (2007).

Details
LocationUnited States
UniversityMassachusetts Institute of Technology
Distributed computingConcurrencySynchronization complexityPopulation protocolsBlockchain systemsParallel algorithmsConcurrent data structuresMachine learning (sparse inference)Blockchain scalabilityDistributed algorithmsMath/informatics olympiads
Notes
  • Quant employment verification: CONFIRMED. The subject's own personal site states he "interned at Google, Facebook, Akamai, Microsoft Reseach, Dropbox and D.E.Shaw" (https://www.cs.toronto.edu/~gelash/), and the LinkedIn profile index records a Quantitative Analyst role at The D. E. Shaw Group, Jun 2017-Sep 2017 (index-only claim, not primary-source confirmed). The D. E. Shaw Group is a quantitative/algorithmic hedge fund, so this is an actual quant-finance internship. Identity is supported: the same personal site is linked from the LinkedIn profile and the X bio, and it names the same PhD/MIT/ETH/olympiad background. No other quantitative-finance employer (bank, asset manager, energy/crypto trading firm, market maker) appears in any source read; only the D.E. Shaw internship qualifies.2017
  • Quant employment verification: CONFIRMED. The subject's own personal site states he "interned at Google, Facebook, Akamai, Microsoft Reseach, Dropbox and D.E.Shaw" (https://www.cs.toronto.edu/~gelash/), and the LinkedIn profile index records a Quantitative Analyst role at The D. E. Shaw Group, Jun 2017-Sep 2017 (index-only claim, not primary-source confirmed). The D. E. Shaw Group is a quantitative/algorithmic hedge fund, so this is an actual quant-finance internship. Identity is supported: the same personal site is linked from the LinkedIn profile and the X bio, and it names the same PhD/MIT/ETH/olympiad background. No other quantitative-finance employer (bank, asset manager, energy/crypto trading firm, market maker) appears in any source read; only the D.E. Shaw internship qualifies.
  • The LinkedIn index records the Aptos Labs 'Blockchain Researcher (Founding Team)' role as Jan 2022-Nov 2025, and his X bio describes Aptos as 'prev' - so Aptos is no longer current and the present employer is not established by any source read (as of 2026-09).Nov 2025
  • D.E. Shaw internship is stated on his own personal site: "I did my undergrad at ETH Zurich and have interned at Google, Facebook, Akamai, Microsoft Reseach, Dropbox and D.E.Shaw." D.E. Shaw Group is a quantitative/algorithmic hedge fund - supports an actual quant-finance-adjacent internship.2018
  • Won the ACM PODC 2018 Doctoral Dissertation Award for his dissertation 'On the Complexity of Synchronization' (MIT, advisor Nir Shavit) - a top distributed-computing honor.2018
  • LinkedIn index lists Quantitative Analyst at The D. E. Shaw Group, Jun 2017-Sep 2017 (4 months), matching the caller lead; this is an index-derived claim and is independently corroborated only as to a D.E. Shaw internship by his personal site.Jun 2017
  • X account @rgelash (verified, 38,003 followers) bio: 'Concurrency, prev blockchain research @aptoslabs, @novi. even prior eng team lead @neuralmagic, PhD @mit' - independently corroborates the career spine (MIT PhD, Neural Magic, Novi, Aptos) off the index.2025
  • PhD in the Multicore Algorithms Group at MIT under Prof. Nir Shavit; afterwards Postdoctoral Fellow at University of Toronto with Prof. Faith Ellen - stated on his own site.
  • Worked two years at NeuralMagic as Senior Algorithms Lead (and Engineering Team Lead), designing high-performance systems for running neural networks on CPUs.
  • Continued as Research Scientist at Novi (Facebook), focusing on theoretical foundations of blockchain systems and practical scalability of Diem.
  • Aptos Labs research page and Aptos Medium posts credit 'Alexander Spiegelman, Rati Gelashvili' - evidence of active, current-era (2024-2025) blockchain research at Aptos Labs.2025
  • Authored/co-authored Block-STM (arXiv 2203.06871; appeared at PPoPP 2023), a parallel blockchain execution engine - blockchain systems research, not a quantitative-finance role.2023

Competition record

Georgia · IOI

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