Dionessa Biton

Dionessa Biton

Masters Student

Universität Oldenburg
Carl-von-Ossietzky-Str. 9-11
26129 Oldenburg, Germany

Room: W16A 1-114

Dionessa Biton

Currently, I am working on modeling the dynamics of the electron transfer chain inside the cryptochrome, which is used for magnetoreception in avian migration, using machine learning frameworks.

2021: Postgraduate Diploma in Quantitative Life Sciences at the Abdus Salam International Center for Theoretical Physics in Trieste, Italy Research: Olfactory search with reinforcement learning using Long-Short-Term Memory (LSTM) network 2018: BS Applied Physics at the University of the Philippines Diliman Research: Modeling complex systems such as granular materials and earthquakes using cellular automata. Using recurrence network analysis to model causal events in avalanches and earthquakes.

Data Scientist at GCash in the Philippines Machine Learning Engineer at Pointwest in the Philippines

D.C. Biton, A. B. Tarun, and R.C. Batac, “Comparing spatio-temporal networks of intermittent avalanche events: Experiment, model, and empirical data,”Chaos, Solitons and Fractals 20, pp 1009519, 2020.
D.C. Biton, and R.C. Batac, “Comparing the sandpile model with targeted triggering and the Olami-Feder-Christensen model as models of seismicity using recurrence network analysis,” Journal of Physics: Conference Series 1298 (1), pp 012007, 2019.
C.D. Janer, D.C. Biton, and R.C. Batac, “Incorporating space, time, and magnitude measures in a network characterization of earthquake events,” Acta Geophysica 65 (6), pp 1153-1166, 2017.

(Stand: 14.03.2024)  | 
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