Philip Pilgerstorfer

Philip Pilgerstorfer is a Data Scientist at QuantumBlack, a company that specializes in advanced analytics and AI, part of McKinsey & Company. His work primarily focuses on contributing to QuantumBlack's internal research and development efforts, particularly in the area of causal inference.2

Educational Background and Expertise

Pilgerstorfer has a strong academic background, having completed or attended PhD-level courses in various fields including Cooperative Game Theory, Law & Economics, Organizational Economics, Quantitative Finance, and Strategic Management.1 This diverse educational foundation supports his analytical skills in data science.

Professional Contributions

In addition to his role at QuantumBlack, Pilgerstorfer engages with the broader data science community through various platforms. He is active on LinkedIn, where he shares insights related to machine learning operations (MLOps) and participates in discussions about the latest trends in data science.3 He has also been featured in podcasts where he discusses his journey from econometrics to data science and emphasizes the significance of understanding correlation versus causation.45

Online Presence

For more information about his professional work or to connect, you can find him on LinkedIn under the username philippilgerstorfer.1 He also maintains a GitHub profile where he shares projects related to his work at QuantumBlack.6