About Me
I have a Master’s degree in physics at the Universidad Nacional de Colombia. I’m living in Bogotá DC, and working at the Servicio Geológico Colombiano as an inspector of radioactive material handling in industries and medicine. I have experience in astrophysics, astronomy, and nuclear physics (theoretical and experimental).
Recently, I have been interested in Bayesian methods and machine learning applied in physics. I began researching the link between transitional disks and exoplanetary systems. Also, I took part in a project to classify the observed systems with machine learning. Finally, as an MSc thesis, I carried out the implementation of Bayesian infenrence with machine learning to constrain observable properties of exoplanetary systems using planet population synthesis simulations.
Currently, I’m interested in the formation of exoplanets, from protoplanetary disks to planetary systems. With my efforts, as well as, my knowledge in planet population synthesis, machine learning methods, Bayesian inference, and data analysis, I want to contribute in open in this science field, understanding our place in the universe.
Finally, my personal interests include read, ride my bike with my father and my cycling friends, the photography, watch Seinfeld or Friends whenever I can and enjoy a good cup of coffee with good company.
Experience
Servicio Geológico Colombiano (SGC)
Regulatory Inspector
October 2018 - present
https://www.sgc.gov.co/
Physicist
Inspector of the regulatory authority in Colombia for the correct handling of radioactive materials in industry, medicine and science.
- Carry out technical guides and scientific reports.
- Conduct inspection visits to verify the conditions, security and correct use of radiactive materials.
Physicist
Study of the environmental impact of 131 I and 99m Tc, in waste water from the Central Police Hospital of Colombia.
- Using an HPGe detector with a fixed experimental geometry to determine the sample activity and the concentrations in ppm.
- Carried out experimental sets up to obtain different volume of samples.
- Software development for data analysis.
Junior research
Design of new analytic methods for gamma spectroscopy applied to basic research focused on:
- Software development for gamma spectroscopy analyses employing C++ and Python.
- Characterization of efficiency and resoluction for HPGe detectors, scintillator detectors such as NaI(2x2), NaI(3x3), CsI(2x2), BGO(2x2) detectors, among others.
- Modeling of extended source and position optimization for HPGe detector.
Education
Universidad Nacional de Colombia
M.Sc. in Physics
2018 - 2021
Master of Science
Two year master’s degree at the top-1 university in Colombia. I used machine learning and bayesian inference to determine phycical characteristics of exoplanetary systems. I am wrote the thesis Bayesian constraints on observable properties of exoplanetary systems using planet population synthesis simulations.
Universidad Nacional de Colombia
B.Sc. in Physics
2011 - 2017
Bachelor's degree
Bachelor degree in Physics, at the top-1 university in Colombia. I wrote a thesis on experimental nuclear physics: Comparison of measurements of NORM by gamma ray spectroscopy using detectors of Ge, CsI, NaI, and BGO, in the Nuclear Physics Group (GFNUN).
Research products
Here are some academic contributions that I have made across time. They are arranged chronologically and by relevance (paper, talk, poster,…).
- Publications:
- G. Chaparro Molano, F. Bautista, Y. Miguel. (2019). Transitional disk archeology from exoplanet population synthesis, Proceedings IAU Symposium No. 345.
- P. Ochoa, F. Bautista, E. Fajardo, W. Rodriguez, F. Cristancho. (2018). Measuring activity concentrations using a High Purity Germanium detector: Extended source efficiency correction and optimization of sample position, NORM-VIII, International Atomic Energy Agency (IAEA).
- Summer schools:
- Learning from Data: Bayesian Methods and Machine Learning. Training in Advance Low Energy Nuclear Theorys. University of York, York, U.K., 2019.
Contribution: Bayesian Model Evaluation of a Gaussian Mixture Classification of Exoplanetary Systems.
- XX Summer School Jorge André Swieca on Experimental Nuclear Physics. Universidad de Sao Paulo, Sao Paulo, Brasil, 2018.
Contribution: Comparison of measurement of NORM by gamma-ray spectroscopy.
- Participation in events:
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RADA Big Data Workshop, Medellín, Colombia, 2019.
Contribution: Machine Learning Classification of Pulsar Candidates, ASTRO-PROJECT group.
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Fifth International Conference on Radiation and Applications in Various Fields of Research - RAD, Budva, Montenegro, 2017.
Contribution: Comparison of measurement of NORM by gamma-ray spectroscopy using detectors of HPGe, CsI, NaI and BGO.
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The 11th Latin American Symposium on Nuclear Physics and Applications, Medellín, Colombia, 2015.
Contribution: Measurement of the concentration of natural radionuclides by γ-ray spectroscopy using a NaI detector
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Second Latinamerican School on Medical Physics, Medellín, Colombia, 2015.
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Second Andean School on Nuclear Physics, Bogotá, Colombia, 2014.
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Awards
Universidad Nacional de Colombia
M.Sc. Scolarship
2018 - 2020
Universidad Nacional de Colombia
Undergraduate Scolarship
2016 - 2017
A Little More About Me
When I am not in the academic world, I enjoy reading, accompanied by a good coffee cup. The last book I read was The Man in the High Castle, an excellent novel. I hope to watch the TV serie soon.
I am a cycling enthusiast; I believe that riding a bicycle removes sorrows and worries. I ride my bike whenever I can (follow me in Strava).
I like photography, however I’m not very good but I keep practicing it. I love nature and animals, especially cats and my pets. You can follow me in my social networks.