My research explores the intersection of AI and healthcare and AI for science, aiming to develop innovative solutions for clinical and medical challenges.
I am also building https://www.equ.care/ Our mission is to advance health equity by providing the Hispanic/Latino community with culturally resonant, transparent AI healthcare solutions—empowering individuals to take control of their health with confidence and clarity.
Key areas of research interest include:
AI for Healthcare: Leading expert in behavior analysis, digital phenotyping, and interpretable machine learning. Focused on the early diagnosis and treatment of mental health disorders, leveraging AI to provide personalized healthcare solutions.
AI for Scientific Discovery: Integrating AI with program synthesis to revolutionize data-driven scientific theory generation, fostering interdisciplinary research and innovation.
Digital Phenotyping and Mental Health: Utilizing mobile sensing and network analysis to gain insights into mental health conditions, aiming to provide personalized and effective interventions.
To learn more about my research interest, here is a perspective paper my team and I wrote, and here is a talk I gave recently summarizing it.
I am fortunate to be the project manager of the multidisciplinary NSF expeditions in computing project: Understanding the world through code led by Prof. Armando Solar-Lezama. Our goal is to advance artificial intelligence and programming languages research for scientific discovery.
I also lead an initiative for artificial intelligence in Latin America.
Check out the neurosymbolic programming for science seminars I have been hosting as part of our NSF expeditions in computing initiative.
I am organizing the first workshop on computational advances for scientific discovery and interpretability at MIT 2024, please join us: https://scientificdiscovery.mit.edu/
Highlighted Research:
The following list is outdated, for most recent research, please visit: https://scholar.google.com/citations?user=2XbaQy4AAAAJ&hl=en&oi=ao
Computer Science
- Neurosymbolic Programming for Science (Neurips 2022)
- Lemma – Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions (Neurips 2022)
Neuroscience
- Pattern Recognition of Deep and Superficial Layers of the Macaque Brain Using Large-Scale Local Field Potentials (MIT News) (Cognitive Computational Neuroscience)
- Automatic Methods for Cortex-Wide Layer Identification of Electrophysiological Signals Reveals a Cortical Motif for the Expression of Neuronal Rhythms (Cognitive Computational Neuroscience)
Mental Health
- Counterfactual Explanations of Clinical Alerts in Schizophrenia using Digital Phenotyping (working paper)
- Individual Behavioral Insights in Schizophrenia: A Network Analysis and Mobile Sensing Approach (EAI PervasiveHealth 2023)
Engineering and Computer Science
Featured Projects:
Fairness in algorithmic decision-making
Mental Health
- The Governance of AI in Digital Healthcare for a Post-Pandemic World Requires Multistakeholder Partnerships - AI governance 2020 - Obsevations of 52 global experts
- Senses and Art - (MIT News)
Digital healthcare
- The Intersection of Digital Health and Equity (The Economist)
- Reducing waste in health systems: Towards higher value in health (The Economist)
Latin America
- Impact of Artificial Intelligence in Latin America (Book Download) | Presentation (MIT Media Lab and CSAIL)
- Global AI Agenda: Latin America (MIT TechReview)
Education
- Education as a Tool for Prevention: Addressing and Countering Hate Speech (UNESCO)
- La lucha contra la Xenofobia (UNESCO)
Academic Journey:
- Research Scientist, Computer Science and Artificial Intelligence Laboratory at MIT
- Postdoctoral Research, Institute for Medical and Engineering Sciences at MIT
- Postdoctoral Research, Brain and Cognitive Sciences at MIT
- PhD Research, University of Manchester (PhD thesis here)
- Graduate Research (Masters) - University of North Texas (Msc thesis here)
- Undegreaduate Research - Universidad Autonoma del Estado de Mexico