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Dr. Rechel G. Arcilla

Full Professor

Educational Background

PhD in Systems Biology and Bioinformatics,
University of Rostock

MS in Mathematics,
De La Salle University

BS in Mathematics,
De La Salle University

Several of her most notable publications include her work on establishing mathematical and compartmental models to describe and analyze biological and signaling pathways associated to different diseases. She also applies mathematical and computational models to study epidemic spreading of diseases and health communication dynamics. Her recent works apply mathematics to study and discover the patterns in the topological structures of different networks/graphs.

Dr. Angelyn R. Lao joined DLSU after the completion of her Doctorate degree in Systems Biology at the University of Rostock (Germany). She obtained her BS and MS degree in Mathematics at De La Salle University. She held two Professorial Chairs in Mathematics namely the Br. C. John Lynan FSC Professorial Chair in Mathematics and the Br. Albinus Peter FSC Professorial Chair in Mathematics. Several of her most notable publications include her work on establishing mathematical and compartmental models to describe and analyze biological and signaling pathways associated to different diseases. She also applies mathematical and computational models to study epidemic spreading of diseases and communication dynamics. Her recent works apply mathematics to study and discover the patterns in the topological structures of different networks/graphs.

Research Interest

  • Systems Biology
  • Chemical Reaction Network Theory
  • Applied Mathematics

Selected Publications

  • A. Lao, M.A. Dela Cruz, G.J. Tenio, P. Sy, E. Mendoza. Stochastic Process Algebra Model of Amyloidogenic Processing in Alzheimer’s Disease. In: Abdul Karim S.A., Shafie A. (eds) Towards Intelligent Systems Modeling and Simulation. Studies in Systems, Decision and Control, vol 383. Springer, Cham, 2022.
  • H. Farinas, E. Mendoza, and A. Lao. Chemical reaction network decompositions and realizations of S-systems. Philippine Science Letters, 14(1), 2021.
  • N. Fortun, E. Mendoza, L. Razon and A. Lao. Robustness in Power-Law Kinetic Systems with Reactant-Determined Interactions. In: Akiyama J., Marcelo R.M., Ruiz M.P., Uno Y. (eds) Discrete and Computational Geometry, Graphs, and Games. JCDCGGG 2018, LNCS 13034, pp. 106–121, Springer, Switzerland, 2021.
  • A. Lao, J.M.C. Edra, K.D. Talag, D.S. Tan, G. Oyong, M. Noel, … & M.C. Tan. Cytotoxic activity of Raphanus sativus Linn. On selected cancer cell lines and mechanistic pathways predicted through mathematical modeling. In: Mohd M.H., Misro M.Y., Ahmad S., Nguyen Ngoc D. (eds) Modelling, Simulation and Applications of Complex Systems. CoSMoS 2019. Springer Proceedings in Mathematics & Statistics, vol 359. Springer, Singapore, 2021.
  • R.G. Tan, K. Aviso, A. Lao, M. Promentillo. Modelling vicious networks with P-graph causality maps. Clean technologies and environmental policy, 1-12, 2021.
  • R.G. Tan, K. Aviso, A. Lao, M. Promentillo. P-graph Causality Maps. Process Integration and Optimization for Sustainability, 1-16, 2021. DOI : 10.1007/s41660-020-00147-2
  • K.J. Villasin, E. Rodriguez, and A. Lao. A Deterministic Compartmental Modeling Framework for Disease Transmission. In: Marchisio M.A. (eds) Computational Methods in Synthetic Biology. Methods in Molecular Biology, vol 2189. Humana, New York, NY, 2021.
  • A. Laron, D.S. Tan, N.R. Lim-Cheng, M. Baclig, L. Cornista, M.L. Daroy, A. Lao, and R. Batista-Navarro. Extraction and graph representation of disease-disease associations from biomedical journals using support vector machines. Manuscript submitted for publication, 2021.
  • K. Fields, N. Fortun, G.A. Solano, A. Lao. CRNet Translator: Building GMA, S-System Models and Chemical Reaction Networks of Disease and Metabolic Pathways. In 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA), IEEE, 2020.
  • M Recario, G.A. Solano, A. Lao. PlaPhy-SMD: A Database System of Plants and their Phytochemicals Integrated with Small-Molecule Drugs and their Condition and Gene Associations with Clustering and Product Ingredient Matching. In 2020 11th International Conference on Information, Intelligence, Systems and
    Applications (IISA), IEEE, 2020.
  • A. Lucido, R. Smith, A. Lao. Prevention of H5N6 outbreaks in the Philippines using optimal control. Philippine Science Letters, 13(2), 158-175, 2020.
  • A. Lao, U. Chua, B.P. Samson. Analysis of the co-authorship network of Filipino researchers in deep learning. Philippine Science Letters, 13(2), 148-157, 2020.
  • H. Farinas, E. Mendoza, A. Lao. Structural Properties of an S-system Model of Mycobacterium tuberculosis Gene Regulation. Philippine Journal of Science, 149(3), 539-563, 2020.
  • A. Lao, H. Cabezas, A. Orosz, F. Friedler, R. Tan. Socio-ecological network
    structures from process graphs. PLoS ONE, 15(8), e0232384, 2020.
  • D.E. Sumalapao, L.E. Bagwan, A. Lao. Constrained Supply Chain Scheduling Model Using Sequential Quadratic Programming Algorithm. Journal of Sciences, Islamic Republic of Iran, 31(4), 349-356, 2020.
  • E. Briones, A. Lao, G.A. Solano. A Pancreatic Cancer Detection Support Tool Using Mass Spectrometry Data and Support Vector Machines. 2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020.
  • M. Feria, M. Oliva, B.P. Samson, and A. Lao. Drowning Out Rumor: Dynamical Models of the Interaction between Spreaders of and Exposed to Truth and Rumor Spreading. Philippine Journal of Science 148 (4), 659-686, 2019.
  • A. Nazareno, R.P. Eclarin, E. Mendoza and A. Lao. Linear conjugacy of chemical  kinetic systems. Mathematical Biosciences and Engineering, 16(6), 8322-8355, 2019.
  • C.P. Arceo, E. Jose, A. Lao, and E. Mendoza. Chemical Reaction Networks: Filipino contributions to their theory and its Applications. Philippine Journal of Science, 148(2), 249-261, 2019.
  • N. Fortun, E. Mendoza, L. Razon and A. Lao. A Deficiency Zero Theorem for a class of power-law kinetic systems with non-reactant-determined interactions. MATCH Communication in Mathematical and Computer Chemistry, 81, 621-638, 2019.
  • D. Mendoza, A. Lao and G.A. Solano. Pathway based Human Disease Clustering and Similarity Analysis Tool Using Frequent Structure Mining. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), IEEE, 2018.
  • D. Rodriguez, A. Lao and G.A. Solano. Biological Network Analysis and Subnetwork Extraction Tool. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), IEEE, 2018.
  • N. Fortun, E. Mendoza, L. Razon and A. Lao. A Deficiency-One Algorithm for power-law kinetic systems with reactant-determined interactions. Journal of Mathematical Chemistry, 56(10), 2929-2962, 2018.
  • N. Fortun, E. Mendoza, L. Razon and A. Lao. Multistationarity in Earth’s Pre-industrial Carbon Cycle Models. Manila Journal of Science, 11, 81-96, 2018.
  • H. Lee and A. Lao. Transmission dynamics and control strategies assessment of avian influenza A (H5N6) in the Philippines. Infectious Disease Modelling, 3, 35-59, 2018.
  • C.P. Arceo, E. Jose, A. Lao, and E. Mendoza. Reactant subspaces and kinetics of chemical reaction networks. Journal of Mathematical Chemistry, 56(2), 395-422, 2018. D.S. Tan, R.N. Leong, A.F. Laguna, C.A. Ngo, A. Lao, D. Amalin, and D. Alvindia.  AuToDiDAC: Automated Tool for Disease Detection and Assessment for Cacao Black Pod Rot. Crop Protection, 103, 98-102, 2018.
  • J. A. R. Sarmiento, A. Lao and G.A. Solano. Pathway-based human disease clustering tool using self-organizing maps. 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA), (pp. 1-6). IEEE, 2018.
  • C.P. Arceo, E. Jose, A. Lao, and E. Mendoza. Reaction networks and kinetics of biochemical systems. Mathematical Biosciences, 283, 13-29, 2017.
  •  .J. Villasin, A. Lao, and E. Rodriguez. A dynamical analysis of Tuberculosis in the Philippines. Philippine Science Letters, 10 (1), 29-37, 2017.
  • H. Alcantara, A. Lao, and L.Ruivivar. Stability Analysis of the ODE Model Representation of Amyloidogenic Processing in Alzheimer’s Disease in the Presence of SORLA. Mol. BioSyst., 2016. doi:10.1039/c5mb00741k.
  • DS Tan, RN Leong, AF Laguna, CA Ngo, A. Lao, D Amalin, and D Alvindia. A Framework for Measuring Infestation Level on Cacao Pods. In 2016 IEEE Region 10 Symposium (TENSYMP), 384-389, Sanur, Bali Island, Indonesia, March 7-9 2016. doi: 10.1109/TENCONSpring.2016.7519437.
  • A. Lao, V. Schmidt, Y. Schmitz, T.E. Willnow, and O. Wolkenhauer. Multi-compartmental modeling of SORLA’s influence on amyloidogenic processing in Alzheimer’s disease. BMC Syst. Biol., 6(1):74, June 2012. doi: 10.1186/1752-0509-6-74. (BMC Systems Biology reflected in its latest impact factor of 2.980, according to the 2012 Journal Citation Reports [Thomson Reuters, 2013])
  • V. Schmidt, A. Lao, K. Baum, K. Rateitschak, Y. Schmitz, C. Munck Petersen, A. Nykjaer, J. Wolf, O. Wolkenhauer, and T.E. Willnow. Quantitative modeling of amyloidogenic processing and its influence by SORLA in Alzheimer’s disease. EMBO J., 31(1):187 – 200, January 2012. doi: 10.1038/emboj.2011.352. (The EMBO Journal reflected in its latest impact factor of 9.800, according to the 2012 Journal Citation Reports [Thomson Reuters, 2013])
  • O. Wolkenhauer, A. Lao, S. Omholt, and H. Martens. Systems approaches in molecular and cell biology: making sense out of data and providing meaning to models. Proceedings of SPIE, 7343(1): 734318-734318-11, April 2009. doi: 10.1117/12.822742.

GET IN TOUCH WITH US

St. La Salle Hall, De La Salle University
2401 Taft Avenue, Malate 1004, Manila, Philippines

College of Science (Room 202, William Hall)
Tel. Nos.: (632) 524-4611 loc 520 (trunk line)
(632) 524-0451 (telefax)
E-mail: [email protected]
Mathematics and Statistics Department (6th  floor, William Hall)
Tel. Nos.: (632) 536-0230 (direct line)
or (632) 524-4611 loc. 420 (trunk line)
Email: [email protected]