Since 2022, I am an assistant professor at FGV's EMAp. I am interested in Bayesian inference, deep learning, and distributed ML. The common thread here is to strive for greener (compute-efficient) AI. I am also intrested in the intersection of ML/Bayes and software engineering.
Follow me on twitter @wkly_infrmtive for somewhat regular updates and for occasional bad jokes. You can also contact me through firstname.lastname@example.org
Want to work with me? I'm looking always looking for excellent post-docs an PhD/MSc students. For post-docs: send me an email with your CV, a brief motivation, and a pointer to your favorite work. MSc/PhD students: check EMAp's selective process first, but feel free to email me. I am committed to foster diversity and encourage folks from different backgrounds (e.g., nationality, sex, gender, and religion) to apply.
For a full list, have a look at my Google Scholar page.