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Urmi Ghosh-Dastidar is the Coordinator of the Computer Science Program and a Professor of the Mathematics Department at New York City College of Technology – City University of New York. She received a Ph.D. in Applied Mathematics jointly from the New Jersey Institute of Technology and Rutgers University and a B.S. in Applied Mathematics from The Ohio State University. Her current research interests include parameter estimation via optimization, infectious disease modeling, applications of graph theory in biology and chemistry, and developing and applying bio-math related undergraduate modules in various SENCER related projects. She has several publications in peer-reviewed journals and is the recipient of several MAA NREUP grants, a SENCER leadership fellowship, Department of Homeland Security grants, and several NSF and PSC-CUNY grants/awards. She also has an extensive experience of mentoring more than forty undergraduate students in various research projects.

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Sandie Han is a Professor of Mathematics at New York City College of Technology, the City University of New York. She has extensive experience in program design and administration, including serving as the mathematics department chair for six years, PI on the U.S. Department of Education MSEIP grant and Co-PI on the NSF S-STEM grant. Her research area is number theory and mathematics education. Her work on Self-Regulated Learning and Mathematics Self-Efficacy won the CUNY Chancellor’s Award for Excellence in Undergraduate Mathematics Instructions in 2013. She participated in the CUNY-Harvard Consortium Leadership program and initiated the CUNY Celebrates Women in Computing Conference.

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Nadia Stoyanova Kennedy is Associate Professor in Mathematics Education in the Department of Mathematics and Program Director of Mathematics Education. Her research focuses on inquiry approaches to mathematics teaching and learning; mathematics identity; philosophy of mathematics education, and mathematics teacher education. She has presented her research at national and international conferences and has published articles in numerous mathematics education and education journals.

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Diana Samaroo is a Professor in the Chemistry Department at NYC College of Technology in Brooklyn, New York. She has experience in curricular and program development, as well as administration as the Chairperson of the Chemistry Department for numerous years. She has mentored undergraduates under the support of Emerging and Honors Scholars program, CUNY Service Corps, Louis-Stokes for Alliance Minority Participation (LS-AMP) and the Black Male Initiative programs. She serves as co-PI on several federal grants, which include NSF S-STEM and NSF HSI-IUSE grants. With a doctoral degree in Biochemistry, Dr. Samaroo’s research interests include drug discovery, therapeutics and nanomaterials.

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Armando D. Solis, PhD is Associate Professor of Biology at New York City College of Technology (City Tech) of the City University of New York (CUNY). Prof. Solis received his PhD in Biomathematical Sciences at Icahn School of Medicine at Mount Sinai, MS in Chemical Engineering at Yale University, and BS in Biological Engineering at Cornell University. His research interests center on computational approaches to protein structure prediction, protein folding, and prebiotic evolution. He teaches advanced courses in bioinformatics and biochemistry as part of City Tech's baccalaureate program in Biomedical Informatics.

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