Latimah Bustillo Arrechea

Latimah Bustillo Arrechea
© Latimah Bustillo Arrechea
Latimah Bustillo Arrechea
Visiting PhD Student
Room 427, OC/BC I
Corrensstraße 36
48149 Münster
T: +49 251 8335323
F: +49 251 8339772
latimah.bustillo@uni-muenster.de
External Profiles:
  • Curriculum Vitae

    since 01/2025 Research internship in the group of Prof. Dr. Frank Glorius, University of Münster
    since 02/2023 PhD in Pharmacy, Universidade de Lisboa, Lisbon, Portugal
    12/2023 M.Sc. in Medicinal and Biopharmaceutical Chemistry, Universidade de Lisboa, Lisbon, Portugal
    10/2022 - 11/2023 Master thesis under Professor Tiago Rodrigues and Dr. Teodoro Laino’s supervision, “Exploration of electrocatalytic reactivity with Machine Learning”, Universidade de Lisboa, Lisbon, Portugal
    04/2022 - 07/2022 Research study under Professor Tiago Rodrigues’ supervision, “Optimization of chemical reactions using Machine Learning”, Universidade de Lisboa, Lisbon, Portugal
    03/2022 - 04/2022 Research study under Professor Carlos Afonso’s supervision, “Bisquinolizidine Derivatives as Sodium Channel Modulators”, Universidade de Lisboa, Lisbon, Portugal
    05/2017 Bachelor of Science in Chemistry, Meredith College, Raleigh, NC, USA
    09/2017 - 02/2018 Bonita Blomster, Oslo, Norway
    01/2016 - 05/2017 Different reasearch studies at Meredith College, Raleigh, NC, USA
    05/2008 - present Language Service Solutions, Durham, NC, USA
    01/2007 - 05/2012 Velotaxes, Durham, NC, USA
  • Publications

    J. G. Pereira,§ J. M. J. M. Ravasco,§ L. Bustillo, I. S. Marques, P.-Y. Kao, P.-Y. Li, Y.-C. Lin, T. Rodrigues,* V. D. B. Bonifácio, A. F. Peixoto, C. A. M. Afonso,* R. F. A. Gomes,*
    Active learning assists chemical intuition identify a scalable conversion of chitin to 3-acetamido-5-acetylfuran,
    Green Chem. 2025, Advance Article. DOI
    § These authors contributed equally.

    L. Bustillo, T. Rodrigues,
    Focus on the Use of Real-World Datasets for Yield Prediction,
    Chem. Sci. 2023, 14, 4958-4960. DOI

    A. L. Dias,§ L. Bustillo,§ T. Rodrigues,
    Limitations of Representation Learning in Small Molecule Property Prediction,
    Nat. Commun. 2023, 14, 6394. DOI
    § These authors contributed equally.

    L. Bustillo, T. Rodrigues, T. Laino,
    The Rise of Automated Curiosity-Driven Discoveries in Chemistry,
    Chem. Sci. 2023, 14, 10378-10384. DOI

  • Poster Presentations

    L. Bustillo, Exploration of electrocatalytic reactivity, 15th National Organic Chemistry Meeting & 8th National Medicinal Chemistry Meeting, January 22-24, 2024, Lisbon, Portugal.

    L. Bustillo, Exploration of electrocatalytic reactivity, Imed annual scientific meeting, June 26-27, 2023, Lisbon, Portugal.

    L. Bustillo, Determination of Harmful Plastics in Food Containers, Celebrating Students’ Achievements (CSA) Day, May 11, 2016, Raleigh, North Carolina, USA.