Ka Yung Cheng -Data Integration – Innovative Researcher Award

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Ka Yung Cheng -Data Integration – Innovative Researcher Award

Mrs. Ka Yung Cheng distinguished academic and researcher in the field Data Integration.

🌐 Professional Profile

Educations📚📚📚

She pursued her education at Christian-Albrechts-Universität zu Kiel in Germany, where she has been working towards a Doctor of Medical Science (Dr. rer. medic) since 2021. Her doctoral thesis, titled “An Image Annotation Pipeline for Body Area, Modality and Laterality (IMBODY),” focuses on developing advanced methodologies in medical imaging. Prior to this, she earned a Master of Science in Information Technology from Technische Hochschule Ostwestfalen-Lippe in Lemgo, Germany, from 2019 to 2021. Her master’s thesis, “Developing a Deep Learning Metal Classification Method for Prompt-Gamma Neutron Activation Analysis (PGNAA),” showcased her expertise in deep learning and its applications in material analysis. She also holds a Bachelor of Science in Technical Informatics from Technische Hochschule Ostwestfalen-Lippe, completed between 2017 and 2019. Her bachelor’s thesis, “Implementation and Qualification of a Machine Learning Library for Performing Image Processing Tasks in an Industrial Environment,” reflects her strong foundation in machine learning and its practical applications in industrial settings.

Experience

She has been a Medical Informatics Researcher at Universitätsklinikum Schleswig Holstein in Kiel, Germany, since January 2021. In this role, she focuses on training and evaluating deep learning models to classify medical images by modality, laterality, and body parts using SNOMED CT terminology. Her responsibilities also include collecting and curating medical image datasets to SNOMED CT codes, integrating pharmacological data from a data lake to a clinical data repository using Talend and Java (Spring Boot), indexing medical metadata in Elasticsearch, and transforming clinical data to international standards like FHIR and openEHR. Prior to this, she worked at Phoenix Contact in Blomberg, Germany. From April 2019 to March 2020, she served as a Software Developer, where she performed image preprocessing for controlling the plastic housing of products and created ETL jobs using PowerBI to develop a matrix of stored products. Before that, she completed an apprenticeship as a Software Developer at Phoenix Contact from 2016 to 2018, where she analyzed functional and technical requirements and developed applications in COBOL.

📝🔬Publications📝🔬
  • ● Instance-level Medical Image Classification for Text-based Retrieval in a
    Medical Data Integration Center
    https://doi.org/10.1016/j.csbj.2024.06.006
    ● Structured Data Retrieval and Analysis of HL7 v2 Messages with
    Elasticsearch https://doi.org/10.3233/shti231246
    ● An Image Retrieval Pipeline in a Medical Data Integration Center
    https://doi.org/10.3233/shti231208
    ● ETL Processes for Integrating Healthcare Data – Tools and Architecture
    Patterns https://doi.org/10.3233/shti220974
    ● Prompt-Gamma Neutron Activation Analysis (PGNAA)” Metal Spectral
    Classification using Deep Learning Method
    https://doi.org/10.48550/arXiv.2208.13909

Constance Bordet – Big data – Emerging Talent Award

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Dr. Constance  Bordet distinguished academic and researcher in the Big data. she worked as a Professor Assistant in Pharmacology at Paris Saclay University, affiliated with Kremlin-Bicetre Hospital and Rives de Seine Hospital. Under the supervision of Professor Lamiae Grimaldi, her responsibilities included providing methodological support for research teams at the hospitals, particularly in clinical pharmacy and oncology. Additionally, she conducted research on drug treatments for multiple sclerosis patients using health insurance databases, alongside teaching activities.

🌐 Professional Profiles

Educations📚📚📚

She earned her Pharmacy diploma from the University of Toulouse between 2013 and 2023. In 2019-2020, she pursued a Pharmacovigilance Pharmacoepidemiology University Diploma at the University of Bordeaux. Following this, she completed a Master 1 in Research Biology and Health with a focus on biostatistics at the University of Lille between 2015 and 2016. Later, in 2021-2022, she pursued a Master 2 in Public Health with a specialization in epidemiology at Paris Saclay University.

Professional experiences

Prior to this role, from November 2022 to October 2023, she worked at the Clinical Investigation Center of the University Hospital of Toulouse, providing methodological support for care teams in pneumology, internal medicine, and oncology. She also participated in methodological appraisals of national and inter-regional projects.

She completed her Pharmacy thesis on protein kinase inhibitors for lung cancer management during this time. In January 2022 to July 2022, she undertook a Master 2 internship at the CESP (Center for Epidemiology and Population Health Research) – Epiphare, focusing on identifying factors associated with severe SARSCoV2 infection in multiple sclerosis patients using the National Health Data System.

In May 2021 to November 2021, she worked in the Pharmacovigilance Department of the pharmaceutical company Merck, analyzing pharmacovigilance cases and participating in implementing recommendations for ovitrelle use in men.

Earlier experiences include working in the oncology department of the University Hospital of Toulouse from November 2020 to April 2021, and in various pharmacovigilance centers and clinical pharmacy settings. Additionally, from November 2018 to April 2019, she worked in the medical device purchasing department at Toulouse University Hospital, contributing to the implementation of call for tenders.

📝🔬Publications📝🔬