Applied Mathematician by training, I am passionate about solving complex problems that have real day-to-day impact on every living being, with a focus on innovations in Applied Machine Learning, Human-Technology Optimizations and Clean Technologies.I use data-driven tools inspired from non-equilibrium statistical physics to analyze, model and understand nonlinear dynamics and stochastic processes. I have applied these to geo-physical applications such as climate change and discovery of exo-planets as well as computer science applications in distinguishing noise from chaos, natural language processing, computer vision and temporal data analysis in text, music and video.I have more than 10 publications in highly reputed international journals. My work has been featured in American Physical Society as well as many news articles at Yale, such as Yale Scientific Magazine, Yale Daily Newspaper and Yale News.My PhD work has also been featured in an article by the Yale Graduate School (link below).
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Co-Founder & CeoEnkrypt Ai Sep 2022 - PresentBoston, UsOn a mission to accelerate safe, reliable and compliant adoption of Generative AI.
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Chief Ai OfficerAccrete Ai Jun 2021 - May 2022New York, Ny, Us -
Director Of Ai ResearchAccrete Ai Oct 2018 - Jun 2021New York, Ny, Us
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Graduate StudentYale University Aug 2012 - Oct 2018New Haven, Ct, UsI work on problems in Nonlinear Dynamics and Stochastic Processes with Astrophysical and Geophysical Applications. I have combined the concepts of noise (stochasticity), chaos theory (sensitivity to initial conditions) and fractal theory in a multi-scale framework to study the dynamics of Earth's climate based on observations from satellite and Earth-based sensors. These important findings have implications on the dynamics and prediction of Arctic Sea Ice Extent as well as on Global Climate on multi-decadal timescales.This framework has also led to the invention of a new method to detect exoplanets, i.e. planets outside our solar system. While traditional methods fit stellar evolution models to data, we have developed a novel data-based method which does not have any a-priori assumptions to it, leading to much more robust detection of these exoplanets.The Yale Graduate School of Arts and Sciences did a feature article on my research, which can be found in a link below.My research on exoplanets has also been featured in Yale Scientific Magazine, Yale Daily Newspaper and Yale News (links below). -
Teaching FellowYale University 2013 - 2015New Haven, Ct, UsSpectral Graph Theory (August - December, 2015)Linear Algebra with Applications (January - May, 2015)Design and Analysis of Algorithms (January - May, 2013)
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Visiting Research ScholarYale University May 2012 - Jul 2012New Haven, Ct, UsClimatological Evolution of Sea Ice
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David Crighton FellowUniversity Of Cambridge Sep 2016 - Nov 2016Cambridge, England, Gb- Extended my steady state model for sea-ice and mixed-layer profile in Fram Strait to a time-dependent model, which resulted in explaining the sea-ice export in the Fram Strait. - Showcases an asymmetry in the growth and melt of Arctic sea ice, and helps explain the role sea-ice velocity in controlling the sea-ice extent. -
Geophysical Fluid Dynamics FellowWoods Hole Oceanographic Institution Jun 2016 - Aug 2016Woods Hole, Massachusetts, Us- Built a simple steady state model of heat and mass transfer in the Fram Strait that reveals some fundamental mechanisms controlling sea-ice extent in the marginal seas and the depth and properties of the Arctic mixed layer.- Applications to dynamics of Atlantic Meridional Overturning Circulation, which in turn regulates Global Climate -
Teaching AssistantUniversity Of Oxford 2013 - 2014Oxford, Oxfordshire, GbWaves and Compressible Flow (January - March, 2014)Techniques in Applied Mathematics (October - December, 2013) -
Student Fellow At Oxford Centre For Collaborative And Applied MathematicsUniversity Of Oxford May 2010 - Jul 2010Oxford, Oxfordshire, GbBifurcations In Low Dimensional Dynamo Models
Sahil Agarwal Skills
Sahil Agarwal Education Details
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Yale UniversityApplied Mathematics -
University Of OxfordApplied Mathematics
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Indian Institute Of Technology, GuwahatiMathematics And Computing
Frequently Asked Questions about Sahil Agarwal
What company does Sahil Agarwal work for?
Sahil Agarwal works for Enkrypt Ai
What is Sahil Agarwal's role at the current company?
Sahil Agarwal's current role is Co-Founder & CEO @ Enkrypt AI | Math PhD, Yale.
What schools did Sahil Agarwal attend?
Sahil Agarwal attended Yale University, University Of Oxford, Indian Institute Of Technology, Guwahati.
What skills is Sahil Agarwal known for?
Sahil Agarwal has skills like Stochastic Modeling, Data Analysis, Programming, Applied Mathematics, Research, Algorithms, Statistical Inference, Computational Mathematics, Machine Learning, Linear Algebra, C++, C.
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