CV

Keywords

statistics, research, programming, health, phd, masters, psychiatry, psychology

🎓 Education

  • 2023 — current: PhD in Psychiatry and Behavioral Sciences, Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    • Funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under the Academic Excellence Program (Proex).

  • 2023 — 2024: Training in Cognitive-Behavioral Therapies, Institute of Neuroscience and Cognitive Therapies (INTCognitivas), Porto Alegre, Rio Grande do Sul, Brazil

  • 2022 — 2023: MSc in Psychiatry and Behavioral Sciences, Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

  • 2016 — 2021: BSc in Psychology, Department of Psychology, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

    • Funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) with Scientific Initiation scholarship. Final paper was published as an open access article at Psychiatry Research Communications.

  • 2013 — 2015: Technical Course in Computer Science, Federal Institute of Education, Science and Technology of Rio Grande do Sul, Ibirubá, Rio Grande do Sul, Brazil

📝 Publications and preprints

📚 Book chapters

🧑‍🏫 Courses

  • Introduction to R Course (in Portuguese). Online. April, 2023.
    • I conducted a comprehensive Introduction to R course for researchers in the healthcare field, consisting of seven lectures under the umbrella of the AlliaNCE (Artificial Intelligence in Neuroscience) research group at UFRGS. The course covered essential concepts related to data manipulation and analysis using the open-source programming language R. The curriculum included lectures, practical exercises, and weekly labs for hands-on application of learned concepts. The course website provided additional resources, such as recommended materials, FAQs, lecture slides, codes, and class recordings. Homework assignments with corresponding answer keys were available, and a tips section featured short videos illustrating data manipulation and analysis routines. The seven classes spanned topics from R introduction to machine learning applications, equipping participants with valuable skills for data-driven research in healthcare.

🎤 Lectures

  • Diagnosis, risk factors and challenges in the treatment of bipolar disorder. Online. May 13, 2025.
    • The lecture was given at a meeting of the Support Group for Patients with Bipolar Disorder. This is a support group that promotes informative lectures for family members, patients and those diagnosed with the disorder. The lecture addressed diagnostic characteristics of the disorder, risk and protective factors, prodromes, and challenges in the treatment plan.
  • Bipolarity: the importance of commitment and engagement in treatment. Online. December 17, 2024.
    • The lecture took place at a meeting of the Support Group for Patients with Bipolar Disorder. This is a support group that promotes informative lectures for family members, patients, and those diagnosed with the disorder. The lecture discussed aspects involving adherence to treatment in bipolar disorder, as well as the influence of commitment and engagement of the patient and clinician/therapist in the therapeutic process.
  • Large Language Models in Mental Health. Porto Alegre, RS. August 31, 2024.
    • The lecture was given on August 31, 2024 at the Digital Meantal Health Meeting, which took place at the Instituto Caldeira in Porto Alegre. The lecture covered topics related to new language AI models and how they can be used in for mental health related scenarios.
  • Big Data in Mental Health (in Portuguese). Porto Alegre, RS. August 31, 2024.
    • The lecture was given on August 31, 2024 at the Digital Mental Health Meeting, which took place at the Instituto Caldeira in Porto Alegre. The lecture covered topics related to the interface between big data and mental health, focusing on data science in psychiatry.
  • RISE Project: Stratification of suicide risk in the Brazilian population (in Portuguese). Online. July 29, 2024.
    • The lecture was given on July 29, 2024 via web conference. The lecture covered topics related to a multicenter research project that I’m part of. The central theme of the seminar was “Suicidal behavior, bipolar disorder and borderline personality”.
  • Epidemiology and Phenomenology of Bipolar Disorder (in Portuguese). Criciúma, SC. September 15, 2023.
    • The lecture was given on September 15, 2023 at 1:30 p.m. at the XXI Symposium on Psychiatry at the Brain and Mind Interface, which took place at the Universidade do Extremo Sul Catarinense (UNESC) in Criciúma (SC). The lecture covered topics related to the epidemiology and phenomenology of bipolar disorder. The central theme of the event was “Bipolar disorder: from biological bases to treatment”.
  • What is Artificial Intelligence? (in Portuguese). Porto Alegre, RS. August 23, 2023.
    • The lecture was given on August 23, 2023 at an event entitled “Open Class: Artificial Intelligence and Digital Psychiatry” organized by the League of Psychiatry and Mental Health (LIPSAM) of the Federal University of Health Sciences of Porto Alegre (UFCSPA) and the Federal University of Rio Grande do Sul (UFRGS). The event took place at TECNOPUC Health Plus in Porto Alegre. The lecture covered topics such as big data, machine learning, deep learning, the beginnings of AI, as well as aspects of data science applied to psychiatry from a historical perspective. It also addressed current applications of AI in the field of mental health and how a digital clinic can be envisioned for the future.

💻 Softwares

🏆 Awards

  • Prêmio Tese FAMED 2024 (Best Master’s dissertation defended between 01/01/2023 and 12/31/2023, in the Postgraduate programs of the School of Medicine of the Federal University of Rio Grande do Sul). Federal University of Rio Grande do Sul. Porto Alegre, RS. 2024.

  • Best Poster Award at the ISBD 2023 Annual Conference. International Society for Bipolar Disorders. Chicago, IL. 2023.

  • Mitacs Globalink Research Award. Project: Machine learning and women’s mental health: using bleeding-edge methods to understand premenstrual and mood symptoms. Collaboration with McMaster University (Hamilton, ON). Mitacs. 2023.

  • Young Researcher Award, Congress on Brain, Behavior and Emotions 2022. Gramado, RS. 2022.

  • Third place in Best ePoster of the XIII Brazilian Congress of Cognitive Therapies, Brazilian Federation of Cognitive Therapies. Online. 2021.

  • Highlight in the area of Human Sciences at the 28th Congress of Scientific Initiation, Federal University of Rio Grande. Rio Grande, RS. 2019.

📰 Media and press releases

🧑‍💼 Roles

📈 Citations

Citations are available at Google Scholar.