Intro
I am an economist specializing in statistical data analysis, with years of experience in both predictive and causal modeling in academia and industry.
Real-world data is created and used in an economic environment. Our analyses become more insightful and actionable when we integrate cutting-edge statistical techniques with the economic context of a decision.
My goal is to transform complex data into clear insights that can inform decisions and empower data users to act independently. If you are interested in collaborating I look forward to hearing from you.
CV
Experience
2022 — current: Quantitative Finance Analyst, Model Risk Management, Bank of America
- Leading front-to-end validation and risk assessment of large retail loss
models
- Development of benchmarking models using panel-data, time-series, and
structural methods
- Visualization and presentation of risk findings to stakeholders
2015 — 2022: Assistant Professor (tenure-track), Economics Department, Binghamton University (SUNY)
- Research and publication of articles on the role of heterogeneity over the business cycle
- Teaching PhD-level and undergraduate courses in macroeconomics, computational economics, economic growth and econometrics
Education
2015 PhD, Economics
The University of Texas at Austin
2007 Diplom (≈MA), Economics
Universität zu Köln (University of Cologne)
Random
Academic Work
A few of my academic papers revolving around heterogeneity and business cycles:
Ultimate Predictions
If you have been wondering how your ultimate frisbee predictions fare when evaluated against a
proper scoring rule (and other players!), I made a
website for that. Shoot me a message if you want to play!
Attributions
- Design of this website is a modified version of theme "Dimension" by HTML5 UP.
- Title page svg icon is modified from SVG Repo
Contact
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i = 0;
while (!deck.isInOrder()) {
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deck.shuffle();
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}
print 'It took ' + i + ' iterations to sort the deck.';
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