Manuel David Morales, Ph.D. | Data Science, Multi-Knowledge, Connectedness, and Beyond

Data Science, Multi-Knowledge, Connectedness, and Beyond

Welcome to my website! I am a multidisciplinary scientist, currently researching about Applied Machine Learning, Gravitational-Wave Astrophysics, Science and Religion, and Open Educational Publishing. I also have past experience on Numerical Relativity.

As astrophysicist, I collaborate in the Mexican GW Data Analysis Group, also interacting with with researchers of the LIGO Scientific Collaboration. As data scientist, I collaborate with the Saturdays.AI #Guadalajara community, and I advised the Jalisco State Government, Mexico, in Artificial Intelligence projects for criminology.

I am member of the Centro de Ciencia y Fe, researcher of the Realidad y Proceso philosophical group, voice of the Center for Open and Relational Theology, and collaborating scholar on the Global Faculty initiative. I am also founder and co-editor-in-chief of Razón y Pensamiento Cristiano journal.

If you are interested in any research field(s) in which I currently work, feel free to contact me! I enjoy to network with other researchers and to build collaborations.

Coming soon

2023 Aug - Invited talk about Machine Learning for GW Astronomy in the II Mini Workshop on High Performance Computing in Science and Engineering, at the Instituto de Ciencias Físicas - UNAM, Mexico.

Latest news

2023 Jun 16 - Paper about detection of phenomenological CCSNe GW signals was published on Research in Computing Science.
2023 May 15 to 17 - I am participating in the GW Open Data Workshop as mentor of the Study Hub at the Universidad de Guadalajara and Tecnológico de Monterrey, Mexico.
2023 Apr 11 - Paper about multi-messenger analysis of a supernova’s standing accretion shock instability with gravitational waves and neutrinos was published on Phys. Rev. D, as Featured in Physics (Editors' suggestion).
2023, Mar 23 - Invited talk about GW astronomy in the XIII Congress of Physics and Mathematics “Hypatia”, at the Universidad de las Américas Puebla, Mexico.
2023, Mar 13 - I was invited editor in the 3rd number of Filosofía Fundamental journal. It includes papers of the First Ibero-American Meeting of Science and Faith.
2023, Feb 10-11 - I attended (remotely) to the International Online Open and Relational Theology Conference, ORT Line 23.
2023 Jan 23 - I am teaching a course about Digital and Statistical Signal Processing, for B.Sc. (Physics) students, Universidad de Guadalajara, CUCEI.
2023 Jan 19 - Research panel about Complexity in Scientific Knowledge. Realidad y Proceso International research group.
2023 Jan 14 - Online open class "Science, Theology and Reconstructive Postmodernism", for the Fliedner Foundation's Theological Workshop, Spain.
2022 Nov 28 to Dec 2 - I attended (remotely) the Supernovae in the Gravitational Wave Detection Era Workshop, Australia.
2022 Nov 26 - I advised the "VAK.AI" Project, to detect with machine learning, learning strategies in students. It was sponsored by Saturdays.AI Guadalajara. Check out its report on Medium.
2022 Nov 23 to 24 - I attended (remotely) the 1st Ibero-American Congress of Open Science, International.
2022 Nov 18 - Research pre-print about Characterizing a supernova's Standing Accretion Shock Instability (SASI) with neutrinos and gravitational waves is available on arXiv.org.
2022 Sep 26 to 30 - I attended the 10th Seminar and National School of Computational Learning and Intelligence, Mexico.
2022 Sep 23 - Public talk about my multidisciplinary research of Tarkovsky's film Solaris, at Wunsch Cafe, Guadalajara, Mexico.
2022 Sep 14 - Online class about Evaluation Metrics for Machine Learning, for Saturdays.AI #Guadalajara (4th Ed.).
2022 Ago 20 - We launched the 4th Edition of Saturdays.AI #Guadalajara, in which I collaborate as Machine Learning Mentor.
2022 Aug 1 - I was invited to join the Global Faculty Initiative, as scholar member of its collaborating network.
2022 May 23 to 25 - I attended the GW Open Data Workshop as main mentor of a Study Hub at the University of Guadalajara, Mexico.
2022 Apr 1 - Talk about Deep Learning for CBC GW detection, for the CONACYT Seminars on Theories of Gravity and Observational Signals.
2022 Mar 25 - Paper about Machine learning for noise reduction in CCSNe GW detection was published on Phys. Rev. D.

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