Clay Malott

Clay Malott Email and Phone Number

Machine Learning Engineer @ OpenSnow
Menlo Park, CA, US
Clay Malott's Location
Menlo Park, California, United States, United States
About Clay Malott

I am a sophomore at Cornell University majoring in atmospheric science and minoring in computer science.Feel free to contact me at cdm237@cornell.edu.

Clay Malott's Current Company Details
OpenSnow

Opensnow

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Machine Learning Engineer
Menlo Park, CA, US
Employees:
8
Clay Malott Work Experience Details
  • Opensnow
    Machine Learning Engineer
    Opensnow
    Menlo Park, Ca, Us
  • Windborne Systems
    Deep Learning Numerical Weather Prediction Engineer
    Windborne Systems May 2024 - Present
    Developed and operationalized Pointy, a machine learning-based point forecast system.
  • Powderchasers
    Meteorologist
    Powderchasers Jun 2022 - Present
    Analyze and interpret complex model data from a variety of global & mesoscale deterministic & ensemble forecast models. Develop forecast algorithms and write forecasts for ski resorts in North and South America several times per week. Negotiated and managing partnership with Powder Magazine since January 2024.
  • University Of Washington
    Researcher
    University Of Washington May 2022 - Present
    Analyzing climate change’s impact on seasonal snowfall and snowpack during different synoptic regimes in the Pacific Northwest. Investigating the effect of evaporative cooling processes from the Eastern Pacific on mid-latitude cyclone temperatures and precipitation type on a climatological timescale. Utilizing station observations, radiosonde observations, ERA5 reanalysis data, and CMIP5 LENSv1 GCM data to test hypothesis. Primary author on paper written with University of Washington research assistant professor Dr. Edward Blanchard-Wrigglesworth to be published in a peer-reviewed journal in fall, 2024.
  • Opensnow
    Meteorology, Data Science At Opensnow
    Opensnow Aug 2021 - Present
    Lead developer for the HARPNET machine learning-based precipitation downscaling system, expected to integrate into METEOS before the 2024-2025 season.
  • Snowbrains
    Author, Meteorologist
    Snowbrains May 2020 - Present
  • Modap
    Meteorologist, Outreach
    Modap Sep 2019 - Jun 2023
    San Mateo, California, United States
  • University Of Colorado Boulder
    Researcher
    University Of Colorado Boulder May 2022 - Oct 2022
    Boulder, Colorado, United States
    Investigating the microphysical processes of freezing rain to improve detection and quantitative precipitation forecasts. Writing code to perform quantitative quality control on data collected from doppler radar during the 2022 WINTRE-MIX field campaign in Quebec, Canada. Plotting and analyzing vertical profiles of reflectivity, velocity, correlation coefficient, and more to investigate microphysical processes. Preparing and analyzing surface station observations, radiosonde data, and model data to be compared against and used in conjunction with the doppler radar data. Working with Dr. Katja Friedrich and her team of graduate and PhD students. Findings presented at the Mountain Meteorology Conference in July 2022. Co-author on future paper (publication date TBD).Also determining the efficacy of cloud seeding during the 2017 SNOWIE field campaign in the Payette Basin in southwestern Idaho with Dr. Friedrich and her team. Performing quality control on raw data, creating plots for vertical profile analysis and verify cloud seeding efficacy using radar data and surface observations. Co-author on future paper (publication date TBD).

Clay Malott Education Details

Frequently Asked Questions about Clay Malott

What company does Clay Malott work for?

Clay Malott works for Opensnow

What is Clay Malott's role at the current company?

Clay Malott's current role is Machine Learning Engineer.

What schools did Clay Malott attend?

Clay Malott attended Cornell University, The Nueva School.

Who are Clay Malott's colleagues?

Clay Malott's colleagues are Jehan Godrej, Aleksandr Riabov, Christopher Riedel, Haoxing Du, Kenneth Calk, Jeff Tran, Yutong Chen.

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