CMU Expands Quantitative Finance Leadership with Commodities Quant Lab
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Building on its longstanding leadership in quantitative finance, Carnegie Mellon University has launched the Commodities Quant Lab (CQL) to explore how data, mathematics and artificial intelligence can help solve challenges in global commodity markets.
Oil, natural gas, copper, wheat and coffee are among the commodities that influence energy costs, manufacturing, food prices and global trade.
"Commodity markets sit at the intersection of economics, mathematics, technology and global supply chains," said Ilia Bouchouev, director of the CQL.
Bouchouev holds a doctorate in applied mathematics and has more than 20 years of experience in global derivatives trading and risk management. He teaches energy trading at New York University and is a senior research fellow at The Oxford Institute for Energy Studies. He is widely recognized as having helped shape quantitative energy trading and is the author of the book "Virtual Barrels."
"The lab creates a platform where researchers and practitioners can work together on real-world challenges while training the next generation of quantitative finance leaders," he said.
A joint venture between the Master of Science in Computational Finance (MSCF) program and the Department of Mathematical Sciences, the new lab will bring together faculty, students and industry leaders to address challenges in commodity derivatives trading, market structure, modeling and risk management through advanced quantitative methods, data science and machine learning.
The launch builds on Carnegie Mellon's longstanding strengths in computational finance, applied mathematics, statistics, computer science and artificial intelligence. Established in 1994, the MSCF has become a leading source of quantitative talent for financial institutions, trading firms and technology companies.
Through seminars, practitioner forums and industry-sponsored initiatives, the CQL will connect academic research with active market participants.
“The Commodities Quant Lab will be a unique hub for applied research, practitioner forums and industry-sponsored initiatives,” said Robert Simon, executive director of the MSCF program. “We look forward to collaborating across disciplines and institutions and building new relationships with industry partners.”
Corporate sponsors and industry partners will help inform the CQL’s research agenda by proposing research themes, supporting applied initiatives and engaging directly with students and faculty. The CQL will also welcome collaborations with other universities and members of the broader commodities community through selected research and educational activities.
Master of Science in Computational Finance
Carnegie Mellon University’s interdisciplinary, top-ranked Master of Science in Computational Finance program has prepares students for highly successful careers in quantitative finance.