Carney Institute for Brain Science
Center for Computational Brain Science

BRAINSTORM Milestones

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BRAINSTORM Milestones

SOMA 

  • September 2023 
    • SOMA get accepted into the MIT Faculty Founder Program (Award: $10,000 USD)
    • SOMA reaches over 1000 downloads for the App Stores
  • August 2023
    • Funding from the COBRE was renewed (Funding: $200,000 USD)
    • SOMA receives the BBII Award (Funding: $100,000 USD)
  • May 2023
  • April 2023 
    • The first external clinical study was launched on SOMA
  • April 2023 
  • March 2023 
  • August: 2022 
    • A Science Project around SOMA receives funding from the NIH COBRE  (Funding: $250,000 USD)
  • June 2022
    • SOMA gets accepted into the NEMIC Activate Program (Award: $15,000 USD)
  • May 2022 
  • October 2021 
    • SOMA get accepted into the NEMIC Med Tech Leadership Program
  • February 2021 
    • Work on SOMA begins

HSSM

  • November 2023
    • HSSM now supports custom posterior predictive plots and quantile probability plots, essential for a robust Bayesian workflow with Sequential Sampling Models.
    •  Invited to submit full proposal to Chan Zuckerberg Initiative Essential Open Source Software for Science (Cycle 6) Program.
    • Conference presentation on HSSM at the New England Research on Decision Making (NERD) conference at Harvard University.
    • As of this time, HSSM received 54 github stars with 5 unique contributors and > 200 downloads per month since release. The discussion board on github is active with over 30 separate user discussions at this point and > 100 git issues raised and resolved. The wider ecosystem of support packages LANfactory and ssms receive over 1500 downloads per month on pypi.
  • October 2023
    • Work on SSMJax begins, a GPU based forward sampler for sequential sampling models. 
  • September 2023
    • The ssm-simulator package, which forms the current forward simulation backend for HSSM, reaches beta status with release 0.4.3.
  • August 2023
    • Presentation of HSSM at the Computational Cognitive Science 2023 conference in Oxford, England
  • July 2023
    • Alpha version of HSSM is released, with >700 github clones and >300 downloads in the first week alone. 
    • Presentation of HSSM at the Computational Psychiatry Conference 2023 in Dublin, Ireland
    • Presentation on HSSM in the context of the Carney Computational Modeling Workshop 2023, taught at the Carney Institute for Brain Science, Brown University.
  • September 2022: Work on HSSM begins

AER

  • November 2023
    • As of November 2023, the AutoRA open-source project reached 37,000 downloads on pypi, 24 stars on Github, and 16 code contributors. 
    • The first closed-loop behavioral study, involving automated model discovery and automated experimental design, has been conducted as a live demonstration of AutoRA at the CogSci Space Day at the University of Osnabrück.
  • October 2023
    • The Autonomous Empirical Research Group initiates a collaboration with researchers at Google Deepmind to pilot the first closed-loop automated discovery of reinforcement learning models.
    • The Autonomous Empirical Research Group releases equation-scraper: A tool for scraping equations from Wikipedia, used to derive priors over mathematical models for equation discovery algorithms.
    • Three conference articles involving AutoRA got accepted at the 2023 NeurIPS AI4Science workshop:
  • September 2023
    • AutoRA receives professional software engineering support provided by the Virtual Institute of Scientific Software, focusing on the automated documentation of research processes implemented in AutoRA.
    • AutoRA receives 5,000 USD from the Schmidt Science Fellows for applying AutoRA to material discovery. Press release.
  • August 2023 
    • A project involving AutoRA receives 1,001,441 USD (Resources allocated to research at Brown: 361,441 USD) from the Human Networks and Data Science Infrastructure Grant of the National Science Foundation. 
    •  The Autonomous Empirical Research Group initiates a collaboration with researchers at Indiana University to pilot the first automated discovery of sequential sampling models with AutoRA.
    • The Autonomous Empirical Research Group releases equation-sampler 1.0.0: A tool for sampling mathematical equations, used for the dynamic benchmarking and training of equation discovery algorithms. 
  • June 2023
    • Release of AutoRA 3.0.0.
    • The Autonomous Empirical Research Group presents AutoRA at the AI Institute for Dynamic Systems, and initiates a collaboration with the AI Institute on the development and piloting of AutoRA.
  • May 2023
  • March 2023
    • The Autonomous Empirical Research Group releases EEG-GAN 1.0.0: A toolbox for augmenting Electroencephalography data using Generative Adversarial Networks. 
    •  The Autonomous Empirical Research Group presents AutoRA at the AAAI Spring Symposium: Computational Approaches to Scientific Discovery.
  • February 2023
  • November 2022 
    • Release of AutoRA 2.0.0.
  • August 2022 
    • Release of AutoRA 1.0.0.
  • February 2022 
    • Work on the Automated Research Assistant (AutoRA) begins.

Operant BioPharma

  • November 2023 
    • Paper on machine learning for discovering drugs for aging and neurodegenerative disease. 
      • Jalnapurkar B, Le D, Shainin W, Zarcone R, Bhatnagar R, Chin J, Corbin C, Curt C, Hodge B, Martinez F, Mikita T, Pipathsouk A, Rosen J, Rando T, Rodgers J, Linsley J. A deep-learning-based screening platform in aging-relevant human motor neurons to identify therapeutic compounds for amyotrophic lateral sclerosis. (2023). BioRxiv.
  • November 2023 
    • First-ever use of closed-loop microscopy to autonomously discover targets for slowing degeneration in human iPSC-derived neurons.
  • October 2023 
    • Paper on scaling laws for drug discovery. 
      • Linsley D, Griffin J, Brown J, Roose A, Finkbeiner S, Linsley P, and Linsley J. (2023). NeurIPS 2023 Workshop AI4D3.
    • Discovered candidates for Autosomal Dominant Polycystic Kidney Disease (ADPKD).
  • September 2023 
    • Discovered candidates for Amytrophic Lateral Sclerosis (ALS).
    • Broad Institute Machine Learning in Drug Discovery abstract accepted on phenotypic drug discovery.
  • August 2023 
    • Opened lab at Gladstone Institutes.
  • February 2023
    • Raised angel round.
  • November 2022 
    • Hired Chemist and business development team.
  • September 2022 
    • Company is incorporated and option negotiated for robotic microscopy IP and biosensor technologies from Gladstone Institutes.
  • August 2022
    • Paper on automating biosensor prediction from morphology. 
      • Wang S*, Linsley J*, Linsley D*, Lamstein J, and Finkbeiner S. (2022). Frontiers in Toxicology.

Mobile Memory

  • October 2023 
    • Accepted into Harvard HealthLab Accelerator
  • September 2023 
    • Selected by MassChallenge as 1 of 10 companies to present at Boston Startup Week
  • June 2023
    • Spark Grant from Harvard iLab
  • February 2023
    • Semi-Finalist for MIT Sloan Healthcare Prize
    • Semi-Finalist for Harvard President’s Innovation Challenge
  • January 2023 
    • Finalist for Massachusetts Medical Society Innovation Prize
  • December 2021
    • Dove Chocolate $10K Innovation Grant
    • 2nd Place at Rutgers Health Innovation Summit
  • October 2021
    • Accepted into MassChallenge IBM
  • September 2021
    • Accepted into Lemann Program for Creativity and Entrepreneurship at Harvard
  • June 2021
    • Spark Grant from Harvard iLab
  • May 2021
  • January 2021: 
  • December 2020:
    •  Finalist for the Harvard Consulting for Business and Environment
  • October 2020: 
    • Mobile Memory is accepted into Harvard iLab