Research News

As the 2024-25 academic year wraps up, we’re proud to celebrate students who have received national fellowships and scholarships, presented at conferences, and earned other recognition.

Chrissy Crespo ’25 and Alinur Jaboldinov ’26 are the first Hamilton students to participate in the Trudeau Institute’s Biomedical Research Scholars Program in Saranac Lake, N.Y. The program includes five courses designed to develop students’ research skills and understanding of immunology, but its shining focus is the intensive immunological research experience.

Although students have only been back on campus for a month-and-a-half, they've been busy attending conferences, presenting research and enjoying experiential learning opportunities.

Students and faculty ended the fall semester strong as they published academic papers, presented research, and won prestigious awards.

At Hamilton College, learning transcends geographic boundaries and traditional methods, providing students with unique and memorable experiences that bring their material to life.

Not only did Associate Professor of Chemistry Max Majireck and 20 students and recent graduates from his lab co-author the peer-reviewed cover article for the Nov. 22, 2024, issue of Organic Letters, but one of those students – Chrissy Crespo ’25 – designed the cover.

A summer internship, an unexpected interest in sociology, and support from faculty, academic, and ALEX advisors helped Edwin Mensah-Boateng ’25 find his academic path. We asked him to share how he navigated his academic journey.

Learn about just a few of our students’ and faculty members' accomplishments this summer and as the academic year gets underway.

Hamilton students who conducted grant-funded research with faculty this summer showed off the results of their work at a recent poster session.

Alex Kim ’25, a music and math double-major, spent his summer exploring machine learning and music through the help of an Emerson grant. With the guidance of Assistant Professor of Music Charlotte Botha, Kim developed a vocal register classification tool through machine learning models.