Summary
Alon Jacobson is a computational neuroscience and deep learning researcher and Tufts student majoring in Computer Science and Mathematics with eight years of hands-on experience applying ML to real-world problems. He builds neural-network text-prediction models that simulate predictive coding in the brain using PyTorch and has improved preprocessing, visualization, and debugging pipelines for research-grade experiments. His background includes applied NLP work—NER, sentiment analysis, and influencer profiling—using TensorFlow, Keras, GloVe and BERT, and practical data-science product features from his TAMID analyst role. Alon’s academic strengths in probability and measure theory inform a principled approach to model design and evaluation, while his teaching assistant roles sharpen his ability to explain algorithms and computational design clearly. Based in Cambridge, MA, he blends rigorous mathematical thinking with hands-on engineering, and quietly brings visualization and reproducibility into research workflows that often overlook them.
8 years of coding experience
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Tufts University