Mauricio Tec#

I am a postdoctoral fellow at Harvard University working on improving the applicability of reinforcement learning (RL) and AI-driven decision-making in real-world applications. I’m also interested in robotics 🤖 and food 🍣.

robot-detective

Education#

  • Ph.D. in Statistics, The University of Texas at Austin, USA, 2022

  • M.S. in Mathematics, University of Cambridge, UK, 2015

  • B.S. in Applied Mathematics, ITAM, MX, 2013

Experience#

  • Harvard University, Postdoctoral Fellow, 2022 - present

  • Facebook AI Research, Research Intern, 2020

  • Intel AI, Research Intern, 2019

  • Graduate Research Assistant, The University of Texas at Austin, 2018 - 2021

CV#

  • You can download a reasonable update ⬇ here. Last updated: 2024-01-16.

  • You can also try my 🤖 LIVE CV, powered by AI. Have fun asking your own questions.

My Family#

family

News#

  • [2024-01-16] 🔥 New paper: SpaCE paper has been accepted to ICLR 2024. See you in Vienna!

  • [2024-01-15] 🤖 Created a LIVE CV, powered by retrieval augmented generation. Have fun asking your own questions about my research and work experience.

  • [2023-12-10] Started this new website based on Chris Holdgraf’s new blog template.

  • [2023-10-01] New ArXiV paper (full version) SpaCE: The Spatial Confounding Paper.

  • [2023-09-01] Promoted to Research Associate at Harvard University. I will continue my research as usual but take on more projects in a senior role and propose grant applications.

  • [2023-05-15] New grant as Co-PI awarded by the Harvard Chan-NIEHS to develop new deep learning architectures for projecting climate change’s health impacts, combining causal inference with computer vision and graph neural networks. The associated paper Projecting the climate penalty on pm2.5 pollution with spatial deep learning has been accepted for a poster presentation at the TCCML workshop at ICLR 2023.

  • [2023-03-01] New ArXiV paper Causal Estimation of Exposure Shifts with Neural networks.

  • [2022-08-15] Started a postdoc at Harvard University, Department of Biostatistics, focusing on novel AI/ML methods with applications in climate and health.

  • [2023-01-20] Our paper Bayesian Nonparametric Adjustment of Confounding has been accepted for publication at Biometrics.

  • [2022-08-15] Started a postdoc at Harvard University, Department of Biostatistics, focusing on novel AI/ML methods with applications in climate and health.

-->