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I am a fourth-year PhD candidate in Operations Management & Decision Sciences at the Department of Operations & Decision Technologies (ODT) at Kelley School of Business, Indiana University Bloomington. I am advised by Rod Parker and Asa Palley.

I study data-driven decision making under imperfect information, with an emphasis on operational forecasting and judgment aggregation. My primary methodologies include analytical modeling, machine learning, and behavioral experiments.

Working Papers

• Pal, A., A.B. Palley, and V.A. Satopää. Enhancing Crowd Accuracy in AI-Assisted Judgmental Forecasting: Theory and Experimental Evidence. [SSRN]

Works in Progress

• The Interpretable Data-Driven Newsvendor (with Rod Parker and Asa Palley).

• Dynamic Forecast Aggregation with Partially Overlapping Information (with Asa Palley and Ville Satopää).

Recent and Upcoming 

• November 2026: Rod Parker and I will co-chair a session under the MSOM: Supply Chain track on "Algorithm-Assisted Decision Making in Modern Supply Chains" at the 2026 INFORMS Annual Meeting at San Francisco (CA).

  • MC04, Nov 02 (Mon), 1.15 PM - 2.30 PM (Moscone South - 70). 

• September 2026: Presented at an ODT Research Seminar at Kelley School of Business, Indiana University Bloomington.

• August 2026: Began teaching two sections of BUS-K 303 (Technology and Business Analytics) as instructor of record at Kelley School of Business, Indiana University Bloomington (Fall 2026).

• June 2026: Presented at the 2026 INFORMS Advances in Decision Analysis (ADA) Conference at Fuqua School of Business, Duke University, Durham (NC).

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