Bryan GassSenior ML research scientist / Boston

Engineering log

Experience

EXP-01

Aug 2026 - Present
Woburn, MA

Senior Machine Learning Research Scientist

Systems & Technology Research

  • Conduct machine learning research for applied sensing and autonomy systems as a Senior Machine Learning Research Scientist.
Working set
Machine Learning · Deep Learning · Python · Research

EXP-02

Jun 2023 - Aug 2026
Boston, MA

Research Engineer

DEVCOM Army Research Laboratory

  • Led end-to-end research on novel input-conditioned state-space and recurrent architectures for subquadratic long-context modeling and associative recall, from mathematical formulation through controlled experiments.
  • Translated the architectures into parallel, chunked, and streaming JAX implementations with custom VJPs and recurrent-state caching for training and inference.
  • Developed Pallas forward and backward kernels for Triton and Mosaic, achieving up to 26× forward and 41× backward speedups on selected SSM kernels while maintaining numerical parity, gradient equivalence, and streaming/parallel consistency with JAX references.
  • Ran 500M–1B-token pretraining and controlled ablations, validated forward/backward training at 1.18B parameters, and built diagnostics for associative recall, gradients and Jacobians, stability, and rare-token behavior.
  • Built a modular JAX/NNX research platform spanning distributed GPU/TPU training, evaluation, streaming inference, and deployment, including multimodal APIs and Python/TypeScript SDKs for partner organizations.
  • Extended the platform to continual-learning and embodied-agent research through reinforcement-learning objectives, phased training, full-state checkpointing, and robotics environments.
  • Presented findings to partner labs and collaborated with academic, industry, and government research teams.
Working set
JAX · Flax/NNX · Pallas · Triton · Mosaic · XLA · State Space Models · Continual Learning

EXP-03

Jan-Jun; Aug-Dec 2022
Boston, MA

Machine Learning Intern and Master’s Researcher

Dana-Farber Cancer Institute

  • Conducted master’s research on state-space models for resolution-agnostic training and zero-shot upscaling of gigapixel histopathology images.
  • Contributed to the development and maintenance of PathML, an open-source computational pathology library.
Working set
JAX/Flax · State Space Models · Computational Pathology · PathML

EXP-04

Jun 2022 - Aug 2022
Burlington, MA

Research Intern

Microsoft Corporation

  • Improved multi-GPU training for T5 models on medical documents.
  • Investigated state-space, linear-attention, and self-attention methods for extending language-model context.
Working set
T5 · Distributed Training · Linear Attention · NLP

EXP-05

Jun 2021 - Dec 2021
Piscataway, NJ

Data Science Intern

Colgate-Palmolive

  • Developed machine-learning workflows for supply-chain delay prediction and strategy optimization, supporting cost and emissions reduction and automated risk alerts.
  • Built scalable preprocessing and data-management pipelines for large operational datasets.
Working set
Python · Machine Learning · Data Pipelines · Supply Chain Optimization

EXP-06

Jun 2020 - Aug 2020
Burlington, MA

Research Engineering Intern

Microsoft Corporation

  • Contributed C++ components and developer tooling to the mrecutil library for Microsoft’s automatic speech recognition research and experimentation.
Working set
C++ · Automatic Speech Recognition · Developer Tooling

Foundation

Education

Worcester Polytechnic Institute

M.S. in Computer Science · Concentration in Machine Learning

Master’s thesis with Dana-Farber: validated JAX/Flax HiPPO operators for resolution-agnostic gigapixel histopathology.

Aug 2022 - May 2023
Worcester, MA

Worcester Polytechnic Institute

B.S. in Computer Science · Minor in Mathematics

Undergraduate research: positive-unlabeled and inductive-logic models for incompletely labeled data.

Aug 2018 - May 2022
Worcester, MA

Cape Cod Community College

A.S. in Mechanical Engineering

2016 - 2018
Barnstable, MA

Working vocabulary

Technical skills

Research
State Space Models · Recurrent Neural Networks · Linear Attention · Long-Context Modeling · Continual Learning · Generative Models · Reinforcement Learning · Computer Vision · Natural Language Processing · Digital Image Processing
ML Systems
JAX · Flax/NNX · Pallas · Triton · Mosaic · XLA · PyTorch · TensorFlow · Scikit-Learn · Distributed GPU/TPU Training · Custom VJPs
Engineering
Python · C/C++ · TypeScript · JavaScript · Java · Git · Linux · Software Engineering · Algorithms · Data Science
Mathematics & Data
Linear Algebra · Differential Equations · Statistics · Probability · Databases · SQL · PL/SQL · Oracle SQL