Neil Deshmukh

Neil Deshmukh

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Co-Founder and CTO @ Sola. We’re hiring engineers!
New York, United States

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Résumé

Jobs verified_user 0% verified
  • Sola
    Co-Founder & CTO
    Sola
    Jul 2023 - Current (3 years 2 months)
    Building the next generation of process automation, backed by 20M+ in funding from a16z, Conviction, and Y Combinator. We're hiring engineers: https://jobs.ashbyhq.com/sola
  • PostEra
    Machine Learning Intern
    PostEra
    Jun 2022 - Aug 2022 (3 months)
    Built multitask protein-ligand docking models and software for faster in-silico screening, using semi-supervised protein and ligand representations to learn binding pockets, poses, and affinity.
  • MIT Quest for Intelligence
    Researcher
    MIT Quest for Intelligence
    Sep 2021 - Jun 2023 (1 year 10 months)
    Built open-source ML models and benchmark tasks inspired by cognitive assessments across species, aimed at evaluating intelligence-like behavior in supervised and reinforcement learning systems.
  • M
    Lead Software/ML Engineer
    Moonbear Bio
    May 2021 - Nov 2022 (1 year 7 months)
    Developed a no-code ML platform for biologists from scratch, including full-stack product work, model development across proteomics, genomics, pathology, and other biological domains, data storage, distributed inference, and model visualization tools. YC-backed.
  • IBM
    Researcher at MIT-IBM Watson AI Lab
    IBM
    Sep 2020 - Sep 2021 (1 year 1 month)
    Developed a computational pipeline to identify the clinical effectiveness of drug treatments from observational health record data, utilizing the identified signals to repurpose approved treatments for unmet medical needs.
Education verified_user 0% verified
  • Massachusetts Institute of Technology
    Computer Science and Computer Engineering (incomplete
    Massachusetts Institute of Technology
    Jan 2020 - Jan 2023 (3 years 1 month)
Awards verified_user 0% verified
  • S
    Regeneron Science Talent Search (STS) Scholar
    Society for Science and the Public
  • S
    Fourth Grand Award (System Software) at Intel International Science and Engineering Fair 2019, Special awards from US Ag
    Society for Science and the Public
  • US Department of Education
    2020 US Presidential Scholar
    US Department of Education
    The White House Commission on Presidential Scholars selects scholars annually based on their academic success, artistic and technical excellence, essays, school evaluations, and transcripts, as well as evidence of community service, leadership, and demonstrated commitment to high ideals. https://www.ed.gov/news/press-releases/us-secretary-education-betsy-devos-names-161-students-2020-us-presidential-scholars
  • National Geographic Society
    2020 National Geographic Society Young Explorer
    National Geographic Society
    The Young Explorer Grants are awarded to young people who are engaged in impact-driven efforts ranging from scientific innovation and conservation to education, civic engagement, storytelling and more—all developing solutions to pressing problems within their communities.
  • Straubel Foundation
    Straubel Foundation Leadership Award
    Straubel Foundation
    Founded in 2015 by JB Straubel(Co-founder and Chief Technical Officer of Tesla) and Boryana (Tesla & Wikimedia), the Straubel Family Foundation's programmatic focus is on global sustainability, science, education, and human potential. This award recognizes and supports an individual in creating lasting change, in a chosen target domain or community. Solving a complex engineering or social problem is difficult but potentially impactful, requiring both an entrepreneurial spirit and an aptitude for leadership.
  • S
    Second Grand Award (System Software) at Intel International Science and Engineering Fair 2017
    Society for Science the public
    SOFT056 - Scin: An Application to Detect and Diagnose Plant and Skin Diseases Utilizing a Feed Foward Convolutional Neural Network
  • B
    The Grand Prize Winner of International BioGENEius Challenge
    Biotechnology Institute
    The International BioGENEius Challenge is the premier competition for high school students that recognizes outstanding research and innovation in biotechnology.
  • C
    2020 Coca-Cola Scholar
    CocaCola Scholars Foundation
    The Coca-Cola Scholars Program scholarship is an achievement-based scholarship awarded to graduating high school seniors. Students are recognized for their capacity to lead and serve, as well as their commitment to making a significant impact on their schools and communities.
  • G
    2019 Leader of Tomorrow, GapSummit at Broad Institute of MIT and Harvard
    Global Biotech Revolution
    GapSummit competitively selects 100 Leaders of Tomorrow from around the world to attend the summit. Global Biotech Revolution looks for students, entrepreneurs and young professionals with a proven track record of leadership and expertise in the biotech field. GapSummit provides Leaders of Tomorrow with an unparalleled opportunity to network with, challenge and learn from current world leaders in the biotech field. Leaders of Tomorrow also gain a comprehensive overview of biotech trends and issues, inciting discussion about world challenges that will to be met by scientific and business innovations.
  • F
    1517 Grant Recipient
    Fund
Publications verified_user 0% verified
  • P
    FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
    Preprint for Neural Information Processing Systems Beyond FirstOrder Methods in Machine Learning workshop Oct
    Accepted for presentation at Beyond First-Order Methods in Machine Learning workshop at 2019 NeurIPS: Conference on Neural Information Processing Systems, Vancouver, BC, Canada Presented at the NeurIPS Workshop on December 13th, 2019. Abstract: Discovering the underlying physical behavior of the complex systems is crucial, but less well-understood topic in many engineering disciplines. This study proposes a finite-difference inspired convolutional neural network framework to learn the hidden partial differential equations from the given data and iteratively estimate the future dynamical behavior. The methodology designs the filter sizes such that they mimic the finite difference between the neighboring points. By learning the governing
  • P
    Semi-Supervised Natural Language Processing Approach for Fine-Grained Classification of Medical Reports
    Preprint for Neural Information Processing Systems New in ML workshop Presented at the NeurIPS Workshop on December Nov
    Abstract: Although machine learning has become a powerful tool to augment doctors in clinical analysis, the immense amount of labeled data that is necessary to train supervised learning approaches burdens each development task as time and resource-intensive. The vast majority of dense clinical information is stored in written reports, detailing pertinent patient information. The challenge w/ utilizing natural language data for standard model development is due to the complex & unstructured nature of the modality. In this research, a model pipeline was developed to utilize an unsupervised approach to train an encoder-language model, a bidirectional recurrent neural network, to generate document encodings; which then can be used as features p
  • I
    Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods
    IEEE Dec
    Best Machine Learning Paper at the 9th IEEE Columbia Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) and presented at the IEEE MIT Undergraduate Research Technology Conference (URTC). Abstract: This paper introduces a novel low-cost device prototype for the automatic diagnosis of diseases, utilizing inputted symptoms and personal background. The engineering goal is to solve the problem of limited healthcare access with a single device. Diagnosing diseases automatically is an immense challenge, owing to their variable properties and symptoms. On the other hand, Neural Networks have developed into a powerful tool in the field of machine learning, one that is showing to be extremely promising at computing diagnos
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