David Kozak

David Kozak Email and Phone Number

Complexity | Innovation | Strategy @ Distill Energy
David Kozak's Location
Gibsons, British Columbia, Canada, Canada
David Kozak's Contact Details
About David Kozak

My focus is on resolving the complexity that lives at the interface of disciplines. I study the interactions between policy, society, the markets, and research. Only by understanding details of systems can we identify the impactful interventions that result in persistent change without unintended externalities. To this end my current projects (Aug. 2024) are on assisting electricity companies to understand the evolving landscape of policy and technology, and on mapping the sociotechnical system for low-carbon (pink, green, white) hydrogen and ammonia. Previously, my career centered around trading power and unlocking investment in renewable assets. Leveraging expertise in the financial power markets, I led a team to develop software for maximizing capital efficiency of renewables and battery storage.Academically, I obtained a PhD in Statistics for work on machine learning theory. My particular emphasis was two fold: high-dimensional optimization, and modeling under uncertainty. I also received an Executive MBA from the University of Oxford where my particular focus was on innovation and international development.Finally, I'm interested in financial investing for philanthropic efforts. I believe there is insufficient venture philanthropy and private equity-style investments from charitable organizations in for-profit companies trying to do good. I'm open to chat about any of these topics, and more!

David Kozak's Current Company Details
Distill Energy

Distill Energy

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Complexity | Innovation | Strategy
David Kozak Work Experience Details
  • Distill Energy
    Co-Founder
    Distill Energy Aug 2024 - Present
    Stealth. Working at the interface between energy and policy.
  • Vanox
    Owner
    Vanox Aug 2024 - Present
    Holding company | Consultancy | Investment arm
  • Giving What We Can
    Board Member
    Giving What We Can Mar 2024 - Present
    Oxford, Oxfordshire, Gb
  • Solea Energy
    Vp Of Research
    Solea Energy Sep 2021 - Aug 2024
    Overland Park, Kansas, Us
    - Lead the internal research group, driving algorithmic trading and implementing company-wide strategic initiatives.- Head the research and implementation efforts for optimization of physical assets in the financial markets, enabling increased renewables investment.- Facilitate external academic collaborations. - Reporting directly to the CEO, I sit on the executive leadership team and provide quantitative insights to inform company direction.- Provide strategic direction to guide Solea through the transition towards a renewable grid
  • Solea Energy
    Director Of Quantitative Strategies
    Solea Energy Apr 2020 - Sep 2021
    Overland Park, Kansas, Us
    I map out the long term AI/ML strategy for Solea and work with my team to execute it.
  • Solea Energy
    Consultant
    Solea Energy Jan 2019 - Apr 2020
    Overland Park, Kansas, Us
  • Exion Energy Inc.
    Research Statistician
    Exion Energy Inc. Jan 2016 - Feb 2018
    At eXion I created interpretable models that provided insight into the virtuals trading process for MISO, SPP, and PJM. Projects I oversaw included:- Forecasting day ahead and real time energy prices.- Portfolio optimization according to pre-specified objective functions.- Risk analysis at nodal and portfolio level.- Fundamentally driven statistical models of congestion prices.Using the tools mentioned above, I constructed automated trading strategies for MISO, PJM, and SPP that were profitable in every quarter of operation.
  • Endurance Energy
    Consulting Statistician, Trader
    Endurance Energy Sep 2011 - May 2015
    Research - Implemented machine learning algorithms to predict ISO-level and regional load curves, congestion component of real-time LMPs, volatility of real-time LMPs, Day-ahead LMP values, and wind power generation. - Developed statistically sound risk models to minimize company-wide drawdowns. - Developed performance metrics to characterize strengths and weaknesses of individual traders and strategies Trading - Traded virtual day-ahead futures on Midwest ISO and Southwest Power Pool - Traded Monthly Financial Transmission Rights on Midwest ISO - Traded daily and weekly MISO contracts on the Intercontinental ExchangeAll work was done primarily in R with data queried from a SQL Server database. I used econometric and machine learning techniques to approach both the prediction and uncertainty of the market.

David Kozak Skills

Matlab R Trading Sql Statistical Modeling Microsoft Excel Quantitative Finance Statistics Data Analysis Finance Financial Modeling Mathematical Modeling Econometrics Testing Microsoft Office Mathematica Commodity Markets Microsoft Sql Server Machine Learning Project Management Statistical Computing Latex Predictive Analytics Predictive Modeling Research Data Science Large Scale Data Analysis Python Algorithms Optimization Applied Mathematics Inverse Problems Uncertainty Quantification Parameter Estimation

David Kozak Education Details

  • Saïd Business School, University Of Oxford
    Saïd Business School, University Of Oxford
    Master Of Business Administration - Executive Mba
  • Colorado School Of Mines
    Colorado School Of Mines
    Statistics
  • University Of Colorado Boulder
    University Of Colorado Boulder
    Applied Mathematics

Frequently Asked Questions about David Kozak

What company does David Kozak work for?

David Kozak works for Distill Energy

What is David Kozak's role at the current company?

David Kozak's current role is Complexity | Innovation | Strategy.

What is David Kozak's email address?

David Kozak's email address is dk****@****ail.com

What schools did David Kozak attend?

David Kozak attended Saïd Business School, University Of Oxford, Colorado School Of Mines, University Of Colorado Boulder.

What skills is David Kozak known for?

David Kozak has skills like Matlab, R, Trading, Sql, Statistical Modeling, Microsoft Excel, Quantitative Finance, Statistics, Data Analysis, Finance, Financial Modeling, Mathematical Modeling.

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