Lais Isabelle Alves dos Santos

I am a Deep Learning Researcher at the Uncertainty in Artificial Intelligence (UAI) Lab in the Department of Computer Science of the Federal University of Minas Gerais (UFMG). I work on a partnership project with Petrobras, Brazil's largest oil and gas company, where I develop multimodal transformer models under the supervision of Professors William R. Schwartz and Pedro O. S. Vaz de Melo.

I also work with a COVID-19 research project of deep learning models for time series, in collaboration with professors Flávio Figueiredo from UFMG and Michel F. C. Haddad from Queen Mary London.

Prior to this, I obtained my Master's degree in Artificial Intelligence from Télécom Paris (IP Paris) in 2024, as part of my double-degree program alongside my Bachelor's degree in Control and Automation Engineering from UFMG, completed in 2025.

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Research

I am enthusiastic about computer vision, particularly in the areas of Generative AI and multimodal learning. I am especially excited by the rapid evolution of these areas and their potential to transform how intelligent systems perceive and interact with the world.

Publications

Naturally generate aged or rejuvenated faces in a controlled manner leveraging Latent Diffusion Models. The model preserves identity and incorporate aging factors for more realism and fidelity.

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