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  Manuel David Morales, Ph.D. | Spacetime, Computers, and Beyond
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Data Science, Multi-Knowledge, Connectedness, and Beyond
Welcome to my website! I am a multidisciplinary scientist, currently researching in Applied Machine Learning, Gravitational-Wave Astrophysics, Science/Technology and Religion, and Open Educational Publishing. I also have past experience on Numerical Relativity.

As astrophysicist, I research in the Mexican GW Data Analysis Group, which is part of the LIGO Scientific Collaboration. As data scientist and AI expert, I have contributed to the Saturdays.AI #Guadalajara in social impact projects (mobility, education), and I have advised the Jalisco State Government, Mexico, in projects for public safety.

Regarding my philosophical and theological interest, I am member of the Centro de Ciencia y Fe, advisor in AI & Faith, voice of the Center for Open and Relational Theology, collaborating scholar on the Global Faculty initiative. I have contributed as researcher to the Realidad y Proceso philosophical group. 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.


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Coming soon

  • 2025 Mar 12 to May 21 - Invitation to teach in the scientific-philosophical course "Nature and Emergence", at the Fundación Xavier Zubiri, Spain. More information on its website.

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Latest news

  • 2024 Oct 30 - Summary of the Webinar "Theology and Artificial Intelligence: Systematic and Denominational Perspectives" (WCC and CCC) published on the AI and Faith website.
  • 2024 Sep 24 - Talk about the recent work arXiv:2406.00422, presented in the LIGO-Virgo-KAGRA Collaboration Meeting.
  • 2024 Aug 22 - Talk about Responsible AI in GW Data Analysis given in the GWDAMX group, at the Universidad de Guadalajara.
  • 2024 Aug 5 to 7 - Participation (online) in the brainstorming workshop "Deciphering the equation of state using gravitational waves from astrophysical sources", University of Warsaw, Poland.
  • 2024 Jul 29 - Online talk about Deep Learning for detection/characterization of GW signals in the III Mini Workshop on High Performance Computing in Science and Engineering, CIC-IPN and ICF-UNAM.
  • 2024 Jul - I was promoted to Level 1 in the National System of Researchers (SNII), CONAHCYT, Mexico.
  • 2024 Jun - Research pre-print about Residual neuronal networks to classify high frequency emission in core-collapse supernovae gravitational waves is available on arXiv.org.
  • 2024 Mar - Invited outreach talk in the "Viernes de Ciencia" initiative, Instituto de Astronomía y Metereologia at the Universidad de Guadalajara.
  • 2024 Feb - Participation in the International Online Open and Relational Theology Conference, ORT Line 24.
  • 2023 Nov 20 - I am joining the international team of AI and Faith experts. Official announcement on the AI and Faith news.
  • 2023 Aug 17 - 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.
  • 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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