Utkarsh Mital, Phd Email & Phone Number
@lbl.gov
2 phones found area 626
LinkedIn matched
Who is Utkarsh Mital, Phd? Overview
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Utkarsh Mital, Phd is listed as Earth Scientist | Geospatial Machine Learning | Climate | Hydrology | Regenerative Ag at Arva Intelligence, a company with 9 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at lbl.gov, phone signal with area code 626, and a matched LinkedIn profile for Utkarsh Mital, Phd.
Utkarsh Mital, Phd previously worked as Senior Earth Data Scientist at Arva Intelligence and Data Scientist | Geosciences at Berkeley Lab. Utkarsh Mital, Phd holds Doctor Of Philosophy (Ph.D.), Applied Mechanics from Caltech.
Email format at Arva Intelligence
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AeroLeads found 1 current-domain work email signal for Utkarsh Mital, Phd. Compare company email patterns before reaching out.
About Utkarsh Mital, Phd
I am an Earth Scientist at Arva Intelligence, interested in data science applications at the intersection of machine learning and geosciences (e.g., climate, hydrology, regenerative agriculture, natural hazards, mining).I have developed entire machine learning workflows for a range of complex problems in Earth Science, such as gap-filling missing time-series data, super-resolution of meteorological data, modeling spatial snowpack, modeling injection-induced fault slip, and modeling near-surface geological and granular mechanics. My experience involves working with multi-modal geospatial datasets (e.g., satellite data, point measurements), and has resulted in >15 peer-reviewed publications. I have a PhD in Applied Mechanics from Caltech, and have worked as a researcher at Lawrence Berkeley National Laboratory.I am passionate about advancing the frontiers of knowledge and technology in Earth science and machine learning, and develop solutions that can help create a more resilient and sustainable society.
Listed skills include Matlab, Python, Latex, C++, and 14 others.
Utkarsh Mital, Phd's current company
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Utkarsh Mital, Phd work experience
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Data Scientist | Geosciences
- Pioneered new machine learning frameworks to model mountainous and coastal hydrology using random forests and computer vision architectures (U-Nets) across 8 different projects, which can help combat the shortage of potable water due to climate change.- Created a new deep learning framework to model time-series response of injection-induced fault slip.
Postdoctoral Scholar | Geotech | Machine Learning
- Developed a new computer vision framework to model granular materials, which deepened our understanding of how granular materials are impacted by the behavior of individual particles.- Formulated a new geo-statistical model to quantify uncertainty in near-surface geological properties, which is necessary to accurately model ground motions during.
Graduate Research Assistant
- Displayed expertise in research and analysis by building predictive models of soil mechanics based on advanced mathematical concepts, which improved our understanding of soil liquefaction due to rainfall and earthquakes and resulted in a doctoral dissertation.- Exhibited proficiency in implementing high-performance C++ codes and conducting data analysis.
Colleagues at Arva Intelligence
Other employees you can reach at arvaintelligence.com. View company contacts for 9 employees →
Caroline Hollingsworth
Colleague at Arva Intelligence
Salem, Virginia, United States, United States
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QH
Quinn Holland
Colleague at Arva Intelligence
Park City, Utah, United States, United States
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John A. Mcentire V
Colleague at Arva Intelligence
Austin, Texas, United States, United States
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Shinichi Asao
Colleague at Arva Intelligence
Palm Harbor, Florida, United States, United States
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MR
Matthew Rohlik
Colleague at Arva Intelligence
Renville, Minnesota, United States, United States
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Dylan Sherfick
Colleague at Arva Intelligence
Wa Keeney, Kansas, United States, United States
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GR
Greg Ruehle
Colleague at Arva Intelligence
Wichita, Kansas, United States, United States
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MF
Mia Freidenburg
Colleague at Arva Intelligence
Greater Seattle Area, United States
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JK
Jimmy Ko
Colleague at Arva Intelligence
New York, New York, United States, United States
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JM
Jennifer Mcbride
Colleague at Arva Intelligence
Corpus Christi, Texas, United States, United States
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Utkarsh Mital, Phd education
Doctor Of Philosophy (Ph.D.), Applied Mechanics
Master Of Science (M.S.), Applied Mechanics
Bachelor Of Technology (B.Tech.), Civil Engineering
Frequently asked questions about Utkarsh Mital, Phd
Quick answers generated from the profile data available on this page.
What company does Utkarsh Mital, Phd work for?
Utkarsh Mital, Phd works for Arva Intelligence.
What is Utkarsh Mital, Phd's role at Arva Intelligence?
Utkarsh Mital, Phd is listed as Earth Scientist | Geospatial Machine Learning | Climate | Hydrology | Regenerative Ag at Arva Intelligence.
What is Utkarsh Mital, Phd's email address?
AeroLeads has found 1 work email signal at @lbl.gov for Utkarsh Mital, Phd at Arva Intelligence.
What is Utkarsh Mital, Phd's phone number?
AeroLeads has found 2 phone signal(s) with area code 626 for Utkarsh Mital, Phd at Arva Intelligence.
Where is Utkarsh Mital, Phd based?
Utkarsh Mital, Phd is based in San Francisco Bay Area, United States, United States while working with Arva Intelligence.
What companies has Utkarsh Mital, Phd worked for?
Utkarsh Mital, Phd has worked for Arva Intelligence, Berkeley Lab, and Caltech.
Who are Utkarsh Mital, Phd's colleagues at Arva Intelligence?
Utkarsh Mital, Phd's colleagues at Arva Intelligence include Caroline Hollingsworth, Quinn Holland, John A. Mcentire V, Shinichi Asao, and Matthew Rohlik.
How can I contact Utkarsh Mital, Phd?
You can use AeroLeads to view verified contact signals for Utkarsh Mital, Phd at Arva Intelligence, including work email, phone, and LinkedIn data when available.
What schools did Utkarsh Mital, Phd attend?
Utkarsh Mital, Phd holds Doctor Of Philosophy (Ph.D.), Applied Mechanics from Caltech.
What skills is Utkarsh Mital, Phd known for?
Utkarsh Mital, Phd is listed with skills including Matlab, Python, Latex, C++, Mathematica, Research, Finite Element Analysis, and Autocad.
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