Medical University of Bialystok. Gladys Wojciechowska (Langi), PhD.

  • Updated 21.11.2022 by Dział Rozwoju i Ewaluacji

    Gladys Wojciechowska (Langi), PhD

    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 a lot of factors can affect successful remission 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 Badań Klinicznych (Clinical Research Centre)

    Supervisor: Prof. Adam Jacek Krętowski, MD-PhD

    Co-supervisor: Łukasz Szczerbiński, MD

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




    Gladys Wojciechowska (Langi) obtained her Bachelor degree at Institut Teknologi Bandung, Indonesia, in 2012. Her undergraduate thesis was about genetic engineering in bacteria. She published the results in the form of a live presentation and a proceeding paper as its first author. After graduation, she worked at Mochtar Riady Institute for Nanotechnology, a cancer institute in Indonesia, on identifying Single Nucleotide Polymorphisms associated with hepatocellular carcinoma in Indonesian patients. The work was presented at international conferences. This experience inspired her to delve more deeply into 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 behaviour using OpenMx in R. This study was delivered as a live 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 in treatment of the inflammatory bowel disease. Since 2018, she has been  attending the Medical University of Bialystok’s ImPRESS PhD programme and receiving 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 intends to acquire more extensive statistical skills that are particularly needed for handling massive and complex omics data.