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@redpoll.ai
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Michael Schmidt is listed as ML Engineer / Data Scientist | Bayesian Methods | Optimization | Uncertainty Quantification at Redpoll, a company with 4 employees, based in Denver, Colorado, United States. AeroLeads shows a work email signal at redpoll.ai and a matched LinkedIn profile for Michael Schmidt.
Michael Schmidt previously worked as Principal ML Engineer at Redpoll and Lead Instructor at Launchcode. Michael Schmidt holds Doctor Of Philosophy - Phd, Applied Mathematics from University Of Colorado Denver.
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As a principal ML engineer at Redpoll, I lead the development and deployment of cutting-edge AI/ML solutions that are explainable, trustable, and scalable. With over a decade of experience in data science and machine learning, I specialize in Bayesian methodologies that enable probabilistic inference, uncertainty quantification, and model interpretability.I have applied my expertise in various domains, such as agriculture, law, healthcare, and finance, delivering impactful and mathematically sound models that solve complex and real-world problems. I also have a strong background in physics and mathematics, with an in-progress Ph.D. in Applied Mathematics from the University of Colorado Denver and multiple publications in scientific journals. My mission is to use data and AI/ML to advance scientific discovery and social good.
Listed skills include Physics, C/C++, Python, Bash, and 21 others.
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* Developed cutting-edge interpretable machine learning models for novelty detection, time series inference, and reinforcement learning under uncertainty.* Contributed as a researcher to DARPA projects, including SAIL-ON, SNAP-ON, FS2, and ECOSYSTEMIC.* Implemented advanced machine learning techniques such as Cross-categorization, Bayesian Change-Point.
Saint Louis, MO
* Led the inaugural LaunchCode Code Camp, a concentrated program to prepare students foremployment within four months through small interactive classes.* Designed curriculum encompassing Python, Javascript, and Java programming languages.* Managed a classroom of 30 students and supervised two teaching assistants in a dynamic leadershipposition.
Greater St. Louis Area
* Enhanced CiBO's crop model through innovative research in nutrient flow.* Developed cutting-edge yield forecasting system, enabling prediction of crop yields with 3% accuracy months in advance.* Created tools for farmers and commodities traders to act on our model's predictions.
* Created EMR physician nudges to prevent missed diagnoses.* Utilized Keras to develop low-dimensional patient record embeddings and clustering for physician toolkits
* Developed an 'art-unit' classification system using NLP systems and Tensorow to anticipate the USPTO's classification.* Implemented a patent similarity system search to find prior art using ElasticSearch with custom plugins.* Designed statistical tools in JavaScript for attorneys to predict prosecution duration and difficulty* Utilized Tesseract and.
St Albans, MO, United States
Since my experience teaching as a graduate student was so positive I continued teaching. The Fulton School at St. Albans is a Montessori school serving K-12. I taught primarily middle and high school mathematics using project driven education practices.
Boulder, CO
I set up and managed provisioning systems using Puppet and XCat to provision compute nodes, login nodes, and utility servers. As a part of researcher outreach, I lectured on HPC topics as part of a weekly seminar. Additionally, I worked with user to debug and profile their code so it would work optimally on our systems.
Boulder, CO
I managed back end infrastructure on which large data processing and web applications were run. Operations was there to support the developers as well as insuring the highest possible up-time.
Boulder, CO
Managed Torque/Moab, wrote tutorials on how to preform science on a super-computer, programed scientific code designed to be quick and eduicational, and provided support to users.
Taught labs and recitations for introductory physics.
Studying: FRC Plasma · Simulation of Plasma Dynamics · Detector Design · High Voltage · Vacuum Systems · High Speed Electronics
· Data Analysis · Unix/Linux Administration · Data-Center Management
Wrote applications to: detect phishing, manage 200k+ users, monitor systems. Also spent time building/decommissioning enterprise level systems. Worked extensively inside a server room managing physical systems.
* My research focuses on non-parametric density estimation and sensitivity analysis. * Building tools that will be industry-ready. * Have.
Activities and Societies: Society of Physics Students (President)
Activities and Societies: Society of Physics StudentsIn the classroom I studied physics and mathematics. In the lab I worked on plasma.
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Michael Schmidt works for Redpoll.
Michael Schmidt is listed as ML Engineer / Data Scientist | Bayesian Methods | Optimization | Uncertainty Quantification at Redpoll.
AeroLeads has found 1 work email signal at @redpoll.ai for Michael Schmidt at Redpoll.
Michael Schmidt is based in Denver, Colorado, United States while working with Redpoll.
Michael Schmidt has worked for Redpoll, Launchcode, Cibo Technologies, Allscripts, and Juristat.
Michael Schmidt's colleagues at Redpoll include Karim Siri.
You can use AeroLeads to view verified contact signals for Michael Schmidt at Redpoll, including work email, phone, and LinkedIn data when available.
Michael Schmidt holds Doctor Of Philosophy - Phd, Applied Mathematics from University Of Colorado Denver.
Michael Schmidt is listed with skills including Physics, C/C++, Python, Bash, Linux, Algorithms, Numerical Simulation, and Mathematics.
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