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秘密研究所

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Bridging Continents: Data Science Professor Extends Ramapo鈥檚 Reach

Two graduates stand side by side in black caps and gowns.

July 17, 2025

by Lauren Ferguson

A 秘密研究所 of New Jersey professor is inspiring graduate students 5,000 miles across the world to use highly technical data science on global economic issues.

Dr. Osei Twenboah, assistant professor of data science, supervised two master鈥檚 thesis projects through his collaboration with the African Institute for Mathematical Sciences (AIMS), Ghana.

The Ghana-based institute is part of the AIMS Global Initiative which also has institutes in聽South Africa, Senegal, Cameroon, Rwanda and Tanzania, and was formed to provide outstanding education to Africa鈥檚 top talents.

鈥淚ts unique training program teaches analytical thinking and problem-solving skills, and exposes students to many applied fields which are of relevance to Africa鈥檚 development, such as finance, health, food production, climate change, natural resource management, technology and others,鈥 according to AIMS Ghana.

Twenboah, who does research in areas such as stochastic analysis, modeling, artificial intelligence and financial mathematics, conceptualized two potential projects and submitted them to the institute. He was then matched with two graduate students interested in his projects.

He met with the students 鈥 Dickson Anokye and Sandtherland Class Katey 鈥 virtually over an eight-week period, bridging the gap between continents and advising them on the highly-technical projects.

Dr. Osei Twenboah is an assistant professor of data science at Ramapo.

鈥淒ickson Anokye developed a robust hybrid framework combining L茅vy-driven stochastic volatility models with deep learning (LSTM) for high-frequency financial crash prediction, a vital challenge in today鈥檚 volatile markets,鈥 he explained.

鈥淪andtherland Class Katey expanded on this by comparing sequential vs. parallel LSTM integrations, revealing crucial trade-offs between computational cost and forecasting accuracy, especially in high-frequency settings,鈥 he explained.

鈥淏oth students demonstrated an impressive blend of mathematical theory, algorithmic insight, and practical relevance, hallmarks of what we strive to cultivate in data science education globally. I鈥檓 incredibly proud to have contributed to their journey,鈥 he said. 鈥淭heir work is a testament to the transformative potential of international academic collaboration and the power of mathematical science to address real-world problems.鈥

Twenboah said Katey reached out to report that he earned an A+ on his thesis project. And even better, that he plans to apply to PhD programs. One of the PhD programs, at the University of Amsterdam, is for advancing machine learning methods for high-frequency financial time-series data, he said.

鈥淏ased on the work that we did, he is trying to extend it by enrolling in the PhD program, so it was very, very impactful,鈥 he said.

Twenboah said the entire experience has been mutually-enriching.

鈥淎IM students get access to global faculty perspectives, and through that, they benefit from high level applied research,鈥 he said. 鈥淭his kind of mentorship is not just academic. It tries to empower future researchers and build networks, and that extends Ramapo鈥檚 global reach.鈥

Twenboah’s work is the latest example of how Ramapo faculty are actively making an impact beyond the college鈥檚 Mahwah campus, New Jersey, and even the United States.