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ANGELYN R. LAO, Ph.D

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  • ANGELYN R. LAO, Ph.D

Angelyn R. Lao, Ph.D.

rpt

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.

Full Professor

Dr.-Ing. in Systems Biology and Bioinformatics

Systems Biology, Chemical Reaction Network Theory, Applied Mathematics

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.
  • JM 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.
  • K.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.

 

CONFERENCE PROCEEDINGS

  • P Chan, R Manero, M Te and A Lao. State Analysis of Three-node Network Motifs
    using Boolean Model. De La Salle University Research Congress, 2020.
  • A Laron, DS Tan, NR Lim-Cheng, A Lao, and R Batista-Navarro. Corpus Annotation
    of Biomedical Journals for a Machine Learning Approach to Automatic Relation
    Extraction. Proceedings of the 17th Philippine Computing Science Congress,
    University of San Carlos, Cebu, Philippines, March 16-18, 2017. ISSN 1908-1146.
  • JMC Edra, KD Talag, ML Enriquez, and A Lao. Systems Biology Approach of
    Understanding the Effect of Raphanus sativus Extract on the Pathogenesis of
    Chronic Myeloid Leukemia, Breast and Colon Cancer. De La Salle University
    Research Congress, March 7-9 2016. ISSN No. 2449-3309, vol. 4.
  • DS Tan, RN Leong, AF Laguna, CA Ngo, A Lao, D Amalin, and D Alvindia. Method
    for Measuring Infestation Level on Cacao Pods. De La Salle University Research
    Congress, March 7-9 2016. ISSN No. 2449-3309, vol. 4.

Mathematics and Statistics

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