Daniel George, Ph.D.

Daniel George, Ph.D. Email and Phone Number

Cofounder and CEO @ TwinMind
Palo Alto, CA, US
Daniel George, Ph.D.'s Location
Palo Alto, California, United States, United States
Daniel George, Ph.D.'s Contact Details

Daniel George, Ph.D. work email

Daniel George, Ph.D. personal email

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About Daniel George, Ph.D.

Before starting TwinMind, I spent more than 6 years leading applied AI at Google X, JPMorgan, and Wolfram, specializing in time-series, NLP, and generative AI.Prior to that, I pioneered real-time AI for detecting gravitational waves from black hole mergers as part of the Nobel Prize–winning LIGO team. I also worked on high-performance computing at Los Alamos National Laboratory and the National Center for Supercomputing Applications (NCSA). I completed my PhD in Astrophysics from the University of Illinois Urbana-Champaign and Bachelor’s in Engineering Physics from IIT Bombay. I won the global ACM Graduate Student Research Competition, the LSST Data Science Fellowship, and the NVIDIA Fellowship.My long-term mission is to accelerate science and technology using AI.

Daniel George, Ph.D.'s Current Company Details
TwinMind

Twinmind

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Cofounder and CEO
Palo Alto, CA, US
Daniel George, Ph.D. Work Experience Details
  • Twinmind
    Cofounder And Ceo
    Twinmind
    Palo Alto, Ca, Us
  • Twinmind
    Co-Founder & Ceo
    Twinmind Sep 2023 - Present
    Palo Alto, Ca, Us
    The first proactive always-on AI with memory that continuously understands what’s happening around you. It enhances your intelligence in real-time, by predicting what you need to know, before you even have to ask (imagine Jarvis from Iron Man)
  • Jpmorgan Chase & Co.
    Vice President, Applied Ai Lead
    Jpmorgan Chase & Co. Sep 2020 - Aug 2023
    New York, Ny, Us
    Led projects across the firm on machine learning for time-series, natural language processing, LLMs and generative AI.- Time-series signal processing using deep learning methods including LSTMs, Neural ODEs, Temporal Fusion Transformers, etc. 1) real-time bond pricing - built the best performing model in the market 2) pricing mortgage-backed securities 3) hedging commodities swaps 4) forecasting oil pipeline flows 5) anomaly detection in debit transactions- NLP projects: 1) LLMs for extracting predictive market moving signals from news 2) semantic understanding of debit transactions 3) parsing trader/client chats to extract quantitative insights
  • Google X
    Ai Research Scientist
    Google X Oct 2018 - Aug 2020
    Led several confidential applied machine learning projects as a member of the AI center at Google X (the moonshot factory). Developed AI applications in domains including sensor fusion and signal denoising, 3D scanning/reconstruction (patent), genetic engineering, audio/speech processing, motor control optimization for robotic knees, EEG decoding, and forecasting energy consumption in the power grid
  • Google X
    Machine Learning Resident
    Google X May 2018 - Sep 2018
    Worked at Google X, Alphabet's moonshot factory, on applied machine learning and AI research as part of the central machine learning team. Developed an ML solution for improving the wind, pressure, and temperature sensors in extreme atmospheric conditions for Project Loon (patent) and contributed to two other early-stage research projects
  • Wolfram
    Deep Learning / Ai Researcher
    Wolfram Jun 2017 - May 2018
    Champaign, Il, Us
    Developed deep learning technique based on sequence-to-sequence LSTMs with attention for converting natural language queries to precise machine-readable syntax in order to improve the WolframAlpha computational knowledge engine
  • National Center For Supercomputing Applications
    Graduate Research Assistant
    National Center For Supercomputing Applications Aug 2015 - May 2018
    Urbana, Illinois, Us
    Pioneered the application of deep learning in gravitational wave astrophysics as a member of the Nobel-prize winning LIGO group. Developed the first deep convolutional neural networks trained with gravitational waveforms and numerical relativity HPC simulations of merging black holes using the Einstein Toolkit on the petascale Blue Waters supercomputer, to build a real-time gravitational wave detection pipeline for LIGO.Published 5 first-author peer-reviewed papers and over 20 co-authored articles. Won the ACM Student Research Competition, the NVIDIA Graduate Fellowship, the CSE Fellowship, as well as several best paper and poster awards
  • Los Alamos National Laboratory
    Research Fellow
    Los Alamos National Laboratory May 2016 - Aug 2016
    Los Alamos, Nm, Us
    Selected as a Co-Design Fellow. Worked on HPC Smoothed Particle Hydrodynamics (SPH) simulations of neutron star mergers for studying kilonovae and r-process nucleosynthesis in the ejecta using supercomputers.Augmented the 2HOT HPC library by adding tabulated equations-of-state and optimized the nearest neighbor search algorithm by implementing domain-partitioning schemes based on Hilbert ordering using Charm++ and STAPL
  • Nonlinear Dynamics Lab, Department Of Physics, Iit Bombay
    Research Assistant
    Nonlinear Dynamics Lab, Department Of Physics, Iit Bombay Jul 2014 - Jun 2015
    Worked on computational nonlinear dynamics and chaos research projects with Prof. Punit Parmananda. Wrote senior undergraduate thesis on numerical simulations of Chimera States in systems of coupled mercury beating heart oscillators.
  • University Of Notre Dame
    Research Intern
    University Of Notre Dame May 2014 - Jul 2014
    Notre Dame, In, Us
    Worked on numerically analyzing the magnetohydrodynamic stability of astrophysical jets with Prof. Dinshaw Balsara and his group. Performed both symbolic computations with Mathematica and numerical simulations on parallel HPC clusters in C++/Fortran. Co-authored a journal publication

Daniel George, Ph.D. Skills

Machine Learning Astrophysics Wolfram Language Mathematica Supercomputing General Relativity Python Deep Learning C++ Computational Physics Natural Language Processing Data Science High Performance Computing Artificial Intelligence Cuda Openmp Fortran C Numerical Analysis Mathematical Modeling Artificial Neural Networks Natural Language Understanding Neural Networks Simulations Algorithms Physics Latex Signal Processing Unsupervised Learning Computational Geometry

Daniel George, Ph.D. Education Details

  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Ai / Astrophysics
  • Indian Institute Of Technology, Bombay
    Indian Institute Of Technology, Bombay
    Engineering Physics
  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Astronomy And Astrophysics
  • Gregorian Public School - India
    Gregorian Public School - India

Frequently Asked Questions about Daniel George, Ph.D.

What company does Daniel George, Ph.D. work for?

Daniel George, Ph.D. works for Twinmind

What is Daniel George, Ph.D.'s role at the current company?

Daniel George, Ph.D.'s current role is Cofounder and CEO.

What is Daniel George, Ph.D.'s email address?

Daniel George, Ph.D.'s email address is da****@****ail.com

What is Daniel George, Ph.D.'s direct phone number?

Daniel George, Ph.D.'s direct phone number is +121772*****

What schools did Daniel George, Ph.D. attend?

Daniel George, Ph.D. attended University Of Illinois Urbana-Champaign, Indian Institute Of Technology, Bombay, University Of Illinois Urbana-Champaign, Gregorian Public School - India.

What skills is Daniel George, Ph.D. known for?

Daniel George, Ph.D. has skills like Machine Learning, Astrophysics, Wolfram Language, Mathematica, Supercomputing, General Relativity, Python, Deep Learning, C++, Computational Physics, Natural Language Processing, Data Science.

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