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Michael Schmidt

Principal Machine Learning Engineer at Redpoll

Michael Schmidt is a Principal ML Engineer at Redpoll, specializing in the development and deployment of cutting-edge AI/ML solutions that are explainable, trustable, and scalable.1 With over a decade of experience in data science and machine learning, he focuses on Bayesian methodologies for probabilistic inference, uncertainty quantification, and model interpretability.1

Schmidt's expertise spans various domains, including agriculture, law, healthcare, and finance.1 He has an impressive academic background, with an in-progress Ph.D. in Applied Mathematics from the University of Colorado Denver and multiple scientific publications.1

At Redpoll, Schmidt's responsibilities include:

  1. Developing interpretable machine learning models for novelty detection, time series inference, and reinforcement learning under uncertainty.1
  2. Contributing to DARPA projects such as SAIL-ON, SNAP-ON, FS2, and ECOSYSTEMIC.1
  3. Implementing advanced machine learning techniques like Cross-categorization, Bayesian Change-Point detection, Gaussian processes, novelty detection, attribution, and sensitivity analysis.1

Prior to joining Redpoll in July 2019, Schmidt held positions at CiBO Technologies, Allscripts, and Juristat, where he worked on diverse projects ranging from crop yield forecasting to EMR physician nudges and patent classification systems.1

Schmidt's professional mission is to leverage data and AI/ML to advance scientific discovery and promote social good.12 He has 14 years of research and engineering experience, having built production models for healthcare, agronomy, finance, and law, as well as conducted research in high-energy physics, differential geometry, plasma physics, and high-performance computing.2

Related Questions

What are some of the most impactful projects Michael Schmidt has led at Redpoll?
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What are the main challenges Michael Schmidt has faced in developing explainable AI/ML solutions?
Can you provide examples of how Michael Schmidt's work has been applied in the agriculture sector?
What are the key Bayesian methodologies that Michael Schmidt specializes in?
Michael Schmidt
Michael Schmidt, photo 1
Michael Schmidt, photo 2
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Location

Denver Metropolitan Area