Sobre mim

Olá, eu sou Iago Riveiro Santos Dutra. 🙂

Sou estudante de Ciência de Dados e Inteligência Artificial na Escola de Matemática Aplicada da Fundação Getulio Vargas (FGV EMAp), onde recebo uma bolsa integral por mérito. Ao longo da minha formação, cursei disciplinas de pós-graduação em matemática aplicada e estatística, e atualmente estou desenvolvendo minha tese sobre embeddings de fármacos utilizando deep learning.

Estou desenvolvendo projetos de pesquisa no Paccanaro Lab, com foco em aplicações de aprendizado de máquina em contextos biomédicos. Recentemente, concluí um intercâmbio acadêmico de dois meses na Sorbonne Université, em Paris, onde aprofundei meu interesse por ambientes multiculturais e intelectualmente estimulantes.

Trabalhei por dois anos na AtlasIntel, atuando com mineração de dados, automação de processos e modelagem preditiva. Contribuí para previsões eleitorais bem-sucedidas no Brasil e nos Estados Unidos, experiências que fortaleceram minhas habilidades técnicas e colaborativas.

Minha trajetória acadêmica começou como Técnico em Química pelo Instituto Federal Sul-rio-grandense (IFSul), onde pesquisei pirólise de biomassa e otimização de GC-MS no Laboratório de Análise de Contaminantes Ambientais (LACA).

Meus principais interesses incluem drug discovery, machine learning causal, modelagem bayesiana e MLOps. Sou apaixonado por colocar modelos em produção e tenho experiência com Python, R, C++, Julia, além de ferramentas como PyTorch, TensorFlow e Azure.

Atualmente, estou buscando oportunidades para programas de Mestrado ou Doutorado, bem como estágios ou posições de pesquisa em ciência de dados e aprendizado de máquina. Se você está procurando alguém dedicado e curioso para integrar sua equipe, entre em contato!

Fora do trabalho e dos estudos, sou frequentador assíduo da academia, adoro jogar videogames e ler romances água com açúcar. Valorizo o equilíbrio, a curiosidade e o crescimento pessoal contínuo. Acredito em usar ciência de dados para enfrentar desafios reais — especialmente nas áreas de ciências ambientais e bioquímica — e estou sempre em busca de oportunidades que combinem tecnologia, pesquisa e impacto positivo.

TL; DR

Quem sou eu?

  • • Estudante de Ciência de Dados e IA
  • • Buscando oportunidades de Mestrado/Doutorado/Trabalho
  • • Dois anos de experiência em empresa de pesquisas eleitorais
  • • Pesquisa em ML para Bioquímica
  • • Experiência com deploy de modelos em produção

Principais interesses:

  • • Drug discovery
  • • Machine learning causal
  • • Modelagem bayesiana e simulação
  • • Redes neurais em grafos
  • • Otimização estocástica

Technological Toolbelt

Programming Languages



Machine Learning and Big Data



MLOps



Data Exploration and Visualization


Language Proficiency

  • Portuguese
    Native
  • English
    Proficient (Cambridge CAE - C1)
  • Spanish
    Intermediate
  • French
    Intermediate
  • Mandarin
    Elementary

Resume

Education

  1. Data Science and Artificial Intelligence (BSc)

    Getulio Vargas Foundation
    2022 — 2025
  2. Chemical Technician

    Sul-rio-grandense Federal Institute
    2016 — 2021

Experience

  1. Data Science Intern

    AtlasIntel
    2023 — 2025

    Demographic data mining; predictive model calibration; data cleaning and data analysis.

  2. Scientific Initiation and Master's Program Scholarship

    Getulio Vargas Foundation - Capes
    2022 — 2024

    Participation in subjects from the Master's Program in Applied Mathematics.

  3. Scientific Initiation Scholarship

    Sul-rio-grandense Federal Institute
    2019 — 2021

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

  4. Voluntary Research Collaborator

    Sul-rio-grandense Federal Institute
    2018 — 2019

    Work as a research collaborator in the Laboratory of Environmental Contaminants Analysis (LACA).

Publications

  1. Evaluation of the destination of biological sludge in strawberry cultivation with tebuconazole applications

    Ibero-American Environmental Sciences Journal
    2021

    Strawberry cultivation is characterized by the indiscriminate use of pesticides, which can cause not only food contamination, but also the accumulation of waste in the environment and in man. Techniques that minimize residual concentrations in the products and environment are desired. The objective of this study was to evaluate the use of biological sludge in strawberry cultivation, its potential for degradation of the fungicide tebuconazole (TEB) in the soil, its influence on residual concentrations and its microbial activity in the soil.

  2. Coal generation by copyrolysis: effects of temperature, N2 flow and sludge percentage

    Ibero-American Environmental Sciences Journal
    2020

    Copyrolysis (CP) is the cleavage of more than one biomass by heat in the absence of oxygen, which yields liquid, solid, and gas products. Coal constitution depends on copyrolysis conditions and on the process adopted. The combined effect of temperature, nitrogen flow, and percent composition of treated industrial effluent sludge from a rice processing plant (TIESRPP) with rice hulls (RH) for coal generation through CP was studied.

  3. Analytical method optimization for study of difenoconazole degradation in substrate with addiction of treated activated domestic sewage sludge

    Ibero-American Environmental Sciences Journal
    2020

    Pesticide degradation in soils can be evaluated as a possible solution to minimize the effects of toxic action using recalcitrant compounds on cultivated food and the environment in which it occurs. A common and sustainable alternative is the use of treated sewage activated domestic sludge (TSS) as an adjuvant in soils. The objective of this work was to evaluate the influence of TSS on the degradation profile of a pesticide in the soil. Based on the hypothesis that the use of TSS in soils may influence pesticide degradation, a lab-to-field approach was implemented to determine toxic analyte decay using diphenoconazole (DFC), a triazole class fungicide.

  4. Analysis of trace metals in domestic and industrial sewage sludges

    Ibero-American Environmental Sciences Journal
    2019

    The adequate disposal of sewage sludges containing toxic metals still is a challenge. Its application on agriculture has been the most common method around the world and is being considered one of the cheapest ways for disposing this sludge. In that sense, the goal of the current research was to characterize three types of sludge, two coming from industry and one, from domestic sources, through chemical characterizations and determination of the trace metals: lead, chrome, copper, nickel and zinc. These metals were determined by Flame Atomic Absorption Spectrometry.

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Portfolio

Under Construction!

Achievements

Awards

  1. 10° Place at the XIX Rio Grande do Sul Virtual Chemistry Olympics

    Brazilian Chemistry Association
    2021
  2. Bronze Medal at the Brazilian Chemistry Olympics

    Brazilian Chemistry Association
    2021
  3. Gold Medal at the V National Sciences Olympics

    Piauí Federal University
    2020
  4. Silver Medal at the 15° Brazilian Public Schools' Olympics

    Pure and Applied Mathematics Institute
    2019
  5. 2° Place at the III Brazilian Knowledge Olympics

    Paraíba State University
    2018
  6. Silver Medal at the I IFSul Regional Mathematics Olympics

    Sul-rio-grandense Federal Institute
    2017
  7. Bronze Medal at the XV Rio Grande do Sul Chemistry Olympics

    Liberato Salzano Vieira da Cunha Foundation
    2016


Acknowledgments

  1. Outstanding Poster at the 11° Technological and Scientific Initiation Journey

    Sul-rio-grandense Federal Institute
    2018