Beatrice Lowman

ML and Data for Neurotechnology; Cognitive Science & Data Science at UCB

Role
Software Lead at Neurotech Berkeley
Location
Berkeley, CA, US
LinkedIn followers
500 followers

About Beatrice Lowman

Deeply interested in the intersection of technology and the brain. Passionate about medical and prosocial applications of BCIs, neuroprosthetics, AI, and ML.

Experience

  1. Software Lead

    Neurotech Berkeley

    May 2025 — Present · Berkeley, CA, US

    Leading two machine learning neurotechnology projects:Speech Decoding from iEEG for the Kaggle Brain-To-Text 2025 Competition: open source iEEG data decoded using RNN, LLM, and nGram models to recreate speech from neural signalsMusic Reconstruction: replicating and building on the results of Bellier et al.(2023), we use machine learning to reproduce audio spectrograms from iEEG signals recorded during music-listening sessions

Education

  • University of California, Berkeley

    Bachelor's degree, Cognitive Science, Data Science

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Beatrice Lowman — Software Lead at Neurotech Berkeley in Berkeley, CA, US | Unifers