
Meet the Team
Learn more about our members and their research interests below.

Professor, OIC Head
Victoria May P. Mendoza, Dr. rer. nat.
Research interests: disease modeling, neglected tropical diseases, optimization
​
​Vicki is an associate professor at the Institute of Mathematics, UP Diliman. She finished MS Applied Math at UP Diliman in 2011 and Doctor of Natural Sciences (Math) at Karl-Franzens University of Graz, Austria in 2016. Her research is on mathematical models of the cardiovascular-respiratory systems, infectious diseases, and population models involving neutral DDEs, utilizing tools such as sensitivity analysis, parameter estimation, and optimal control theory. She is also interested in topological data analysis and optimization.​

Professor Emeritus
Polly W. Sy, Ph.D.
Research interests: differential equations, dynamical systems, mathematical biology
​
Polly is a professor emeritus at the Institute of Mathematics, University of the Philippines Diliman. She earned her B.S. Mathematics (1974), M.S. Mathematics (1977), and Ph.D. in Mathematical Sciences (1982) from UP Diliman, and later obtained a Doctor of Science (Mathematics) from Nagoya University in 1992.
A prominent leader in the Philippine mathematical community, Polly served as the Chair of the Department of Mathematics for two terms (1994–1996 and 1999–2002) and was the President of the Southeast Asia Mathematical Society from 1998 to 1999. Throughout her career, she has mentored numerous distinguished faculty members and researchers, contributing significantly to the development of mathematics education in the country.
​
Her extensive body of work includes over 30 papers in refereed journals and numerous international conference presentations. In recognition of her scientific contributions, she was named an Outstanding Young Scientist by the National Academy of Science and Technology (NAST) in 1988 and received the NAST-TWAS Science Prize in Mathematics in 1992. She is also a recipient of the National Research Council of the Philippines (NRCP) Achievement Award and the UP Diliman Gawad Chanselor.

Professor
Carlene Perpetua Pilar-Arceo, Ph.D.
Research interests: chemical reaction network theory, infectious diseases, nature-inspired optimization
​
Cayen obtained her BS Mathematics, MS Applied Mathematics, and PhD Mathematics degrees from the University of the Philippines Diliman. For her MS Applied Mathematics degree, she majored in Operations Research. Her PhD dissertation was on Partial Differential Equations, research for which was done under a Monbusho scholarship at Waseda University. Cayen has been recognized twice as an outstanding teacher, Gawad Tsanselor Natatanging Guro 1993 and 2004, and a publication she co-authored, Chemical Reaction Networks: Filipino contributions to their theory and its applications, was recognized as a 2020 NAST Outstanding Scientific Paper. She is very active in the teaching and promotion of GE Mathematics and has several projects and publications in Mathematical Biology, Mathematical Modeling, and Optimization. She is also involved in teacher training locally and in the ASEAN region.
Cayen is currently the director of the Office of International Linkages Diliman, Office of the Vice-Chancellor for Academic Affairs, University of the Philippines Diliman. She served as the director of the Institute of Mathematics in 2018-2021.

Professor
Aurelio de los Reyes V, Dr. rer. nat.
Research interests: infectious diseases, physiological systems, optimal control theory, chemical reaction network theory
​
Aurelio is an associate professor at the Institute of Mathematics, UP Diliman. He completed his Dr. rer. nat. degree at Karl-Franzens Universität Graz, Austria, under the guidance of Prof. Em. Franz Kappel. Following that, he pursued postdoctoral training at several institutions such as the Renal Research Institute in New York, Konkuk University in South Korea, the University of Zurich, and the Biozentrum in Switzerland. He also held a position as a senior researcher at the Biomedical Mathematics group within the Institute for Basic Science in Daejeon, South Korea. His research encompasses a wide range of interests, including modeling biological systems at various scales, from molecular to population levels. He applies optimal control theory and chemical reaction network theory to investigate these systems. Notably, his modeling efforts encompass studying the dynamics of the cardiovascular-respiratory system, developing intervention measures to combat infectious diseases like tuberculosis (TB) and HIV, and devising therapeutic strategies for cancer treatment. He pioneered the inaugural International Workshop on Mathematical Biology (IWOMB 2018) in Cebu, bringing together local and international researchers and students. This event laid the foundation for establishing the Philippine Society for Mathematical Biology (PSMB) in 2024, where he serves as the founding president.

Assistant Professor
Bryan Hernandez, Ph.D.
Research interests: chemical reaction network theory, dynamical systems
​
Bryan is currently an assistant professor at the Institute of Mathematics in the University of the Philippines Diliman (UP Diliman). He obtained his BS Mathematics and MS Mathematics degrees from the University of the Philippines Los Baños, and PhD Mathematics from UP Diliman under the DOST-ASTHRDP Scholarship with specialization Chemical Reaction Network Theory (CRNT). Bryan's works include multistationarity algorithms for different classes of kinetics and the use of decomposition theory in CRNT to analyze properties of equilibria of chemical reaction networks and kinetic systems.

Assistant Professor
Brenda Lyn A. Gavina, Ph.D.
Research interests: reproductive physiology, optimal control theory
​
Brenda is an assistant professor at the Institute of Mathematics, UP Diliman. She obtained her PhD there, with part of her dissertation research conducted at Roskilde University, Denmark, and completed postdoctoral training at the Institute for Basic Science in South Korea. Her research focuses on mathematical modeling of the reproductive system, including the determination of optimal dosing strategies for exogenous hormones to improve their efficacy and safety in regulating menstrual cycle dynamics. This work has applications in contraception, reproductive disorder management, and fertility enhancement.

Assistant Professor
Gervy Marie Angeles, Dr. rer. nat.
Research interests: PDE models for biological applications, mathematical modelling of cell cytoskeleton dynamics
​​
Gervy is an Assistant Professor at the Institute of Mathematics, University of the Philippines Diliman. She obtained her BS Mathematics (cum laude) and MS Mathematics degrees from the University of the Philippines Baguio in 2014 and 2018, respectively, specializing in linear hyperbolic systems of partial differential equations for her master's thesis.
​
She earned her doctoral degree (Dr. rer. nat.) in Mathematics in 2023 from the University of Vienna, Austria, where she was supported by the OeAD Ernst Mach Grant - ASEA-UNINET. Her dissertation focused on the mathematical modeling of cell motility, specifically using short filament approximations to lamellipodium dynamics. This work involves developing simplified mathematical models to describe how protein "skeletons" at the leading edge of a cell grow and push, allowing the cell to crawl and move.
​
Her research continues to explore the intersection of partial differential equations and biology, with a focus on cell dynamics and the stability of coupled systems.

Instructor
Michelle N. Raza
Research interests: disease modeling, optimal control theory, differential equations
​
Michelle is currently an Instructor and a Ph.D. student at the Institute of Mathematics, University of the Philippines Diliman. She received her B.S. Mathematics and M.S Mathematics degrees from Mindanao State University - Iligan Institute of Technology in 2017 and 2019, respectively. She was a recipient of Department of Science and Technology scholarships for her BS and MS studies. Her research interests are on Disease Modeling particularly on infectious diseases and cancer. She is currently in her dissertation stage in her PhD studies and is currently working on the function of the adaptive immune system against cancer.

Instructor
Fatima Lois E. Suarez
Research interests: infectious disease modeling
​
Ima is an instructor and a PhD student at the University of the Philippines Diliman. She finished her Bachelor of Science (B.S.) in Mathematics and Master of Science (M.S.) Applied Mathematics from the same institution in 2016 and 2019, respectively. She was part of the UP Teaching Assistantship Program from 2016 to 2019. Her master’s thesis tackles the spread of avian influenza (HPAI) among domestic geese in Taiwan.

Instructor
Christian Matthew Tandingan
Research interests: optimal control theory, functional analysis, differential equations
​
Matthew is currently an Instructor and a Ph.D. student at the Institute of Mathematics, University of the Philippines Diliman. He obtained his BS Mathematics and MS Mathematics degrees from the University of the Philippines Baguio in 2019 and 2023, respectively. His research interest is on optimal control problem with differential equations that involve the suprema of the state.
Teaching Assistants and Lecturers
Learn more about our teaching assistants and lecturers below.
Graduate Students
Learn more about our graduate students below.
External Collaborators
Learn more about our external collaborators below.

Graduate Student (Ph.D.)
Olive R. Cawiding
Research interests: mathematical biology, causal inference, machine learning approaches for disease risk assessment
​
Olive is currently a Ph.D. student at KAIST, South Korea, and a student researcher at the Biomedical Mathematics Group (BIMAG) within the Institute for Basic Science (IBS), South Korea. She earned her Bachelor of Science in Mathematics in 2015 and her Master of Science in Mathematics in 2020 from the University of the Philippines Baguio. Her research focuses on mathematical biology, applying mathematical methods to address biological problems. Specifically, her work involves developing and applying novel causal inference techniques to establish causality in biological systems and developing machine learning approaches for efficient, accurate, and interpretable disease risk assessment.








