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Research Quick Takes

Henrique and Santos

Jan 15, 2026

More Profitable Strategies

PhD student Bruno Miranda Henrique and Professor Gene Santos co-authored "Cryptocurrencies trading using Parrondo's Paradox" published in the International Review of Economics & Finance. The paper applies a concept from game theory and physics known as Parrondo's Paradox, in which two losing strategies can be combined to produce a winning outcome. "The paper shows that by systematically switching between three cryptocurrencies according to simple, predefined rules, investors can often achieve higher returns than a traditional buy‑and‑hold strategy. Against the backdrop of recent cryptocurrency price swings and heightened market uncertainty, the research adds to ongoing discussions about whether systematic trading strategies can offer an edge over passive investment in digital assets," said Santos.

Hélène Seroussi holds her award

Jan 08, 2026

Cryosphere Science Lecture

Professor Hélène Seroussi was selected to give the John F. Nye Lecture at the Cryosphere section reception of the AGU Fall Meeting. The award recognizes recent accomplishments and outstanding ability to communicate scientific research. "My talk was about 'Preparing for Sea-Level Rise: Are ice sheet models up to the challenge?' which discussed current capabilities and challenges of ice sheet models to help improve predictions of sea-level rise," said Seroussi.

Hizir and Vaze hold the AGIFORS award

Jan 08, 2026

Better Airline Crew Recovery Plans

Professor Vikrant Vaze co-authored "Large-Scale Airline Crew Recovery Using Mixed-Integer Optimization and Supervised Machine Learning" published in Transportation Science. Based on work by Vaze's co-advisee at MIT, Ahmet Esat Hizir (pictured), this research won the "Best Innovation" award at AGIFORS' 2024 Crew Management Study Group Meeting. "By teaching a computer to learn from past disruption recovery attempts and then guiding a powerful optimizer with those lessons, we have built a fast, flexible tool that helps airlines get their crews back on schedule more efficiently, cut costs dramatically, and reduce the ripple effects on passengers," said Vaze.

Posing with posters at NeurIPS

Dec 18, 2025

LISP Lab at NeurIPS

Three members of Professor Peter Chin's LISP Lab—PhD students Mai Pham and Junyan Cheng, and post-doc Xavier Cadet—presented at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) which drew a record-breaking 26,000 attendees. Their presentations addressed optimal auction design, multi-agent cooperation, and language models for autonomous scientific discovery.

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