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    https://www.umb.edu.pl/en/impress

  • Updated 22.06.2020 by Dział Rozwoju i Ewaluacji

    Gladys Langi

    Current project: Predicting Type 2 Diabetes Mellitus remission after bariatric surgery with the use of machine learning approaches.

    Bariatric surgery is an effective intervention for diabetic patients. However, remission is not guaranteed and there are many factors contributing to remission success after surgery. Prediction models would help surgeons make decisions regarding metabolic surgery. We are interested in developing prediction models using clinical data and omics-based biomarkers, such as transcriptomics and lipidomics. I am also interested in exploring machine learning approaches to incorporate high-dimensional omics data and clinical data.

    Department: Centrum Badan Klinicznych (Clinical Research Centre)

    Supervisor: Prof. dr hab. n. med. Adam Jacek Krętowski

    Co-supervisor: Lek. Łukasz Szczerbinski

    Co-investigators: Mgr Anna Citko, Mgr Elwira Siewiec, Urszula Puchta, M.Sc., Joanna Goscik, M.Sc.

    Email: gladys.langi@umb.edu.pl

     

    Bio:

    Gladys Langi obtained her Bachelor degree from Institut Teknologi Bandung, Indonesia in 2012. Her undergraduate thesis was about genetic engineering in bacteria. She published the results through an oral presentation and a proceeding paper as a first author. After graduation, she worked at Mochtar Riady Institute for Nanotechnology, a cancer institute in Indonesia, to identify Single Nucleotide Polymorphisms associated with hepatocellular carcinoma in Indonesian patients. The work was presented as oral presentations in international conferences. This experience inspired her to study more about human genetics. In 2015, she was awarded a Fulbright scholarship to study at Virginia Commonwealth University, USA, for a Master’s degree in Human Genetics. She was introduced to quantitative genetics and the importance of considering environmental factors when studying complex human traits and diseases. Her Master’s degree study was to quantify the influences of genetic and environmental factors on smoking behavior using OpenMx in R. This study was presented as an oral presentation at an international conference. She also co-authored a book chapter about the topic. After graduating in 2017, she returned to Indonesia and worked as a research assistant at Institut Teknologi Bandung. She worked with zebrafish to study the anti-inflammatory effects of an Indonesian herbal extract to treat Inflammatory Bowel Disease. Since 2018, she is attending Medical University of Bialystok’s ImPRESS Ph.D. program and is funded by EU’s Marie Skłodowska-Curie Actions grant. She is interested in identifying genetic and environmental factors for complex human diseases and combining the information for disease or treatment prediction. She aims to learn more of the required statistical skills, especially to handle massive and complex omics data.