Agoston Mihalik

Senior Computational Scientist

Turbine Simulated Cell Technologies Ltd.

Senior Computational Scientist with 10+ years of experience analysing biomedical data including multi-omics, tabular and imaging data. Work focuses on developments and applications of statistical and machine learning models with the aim of improving drug discovery and precision medicine.

Experience

  1. Senior Computational Scientist

    Turbine Simulated Cell Technologies Ltd., UK
    • Applied digital twin and systems biology approaches to gain mechanistic insights into drug discovery
    • Trained and evaluated deep learning models on large-scale (>1M examples) multi-omic and perturbation data to find novel drug targets and biomarkers for cancer
    • Improved the performance and the evaluation of deep learning models
    • Contributed to the automation of deep learning pipelines

  2. Postdoctoral Researcher

    University of Cambridge, UK
    • Implemented a novel, interpretable machine learning algorithm on transcriptomic data (>10K features) to identify risk genes for psychiatric disorders and aid drug discovery
    • Applied digital twin to understand the underpinnings of human choice behaviour
    • Involved in a collaborative team developing an open-source machine learning toolbox

  3. Postdoctoral Researcher

    Univesity College London, UK
    • Developed a state-of-the-art machine learning toolbox, including 5+ computationally and memory efficient multi-view models and an innovative hyperparameter optimization procedure
    • Applied interpretable machine learning models in high-dimensional (>100K features), large-scale (>100-10K examples) datasets to understand patient heterogeneity and stratification

Education

  1. PhD

    University of Birmingham, UK
    Applied machine learning and advanced statistical models on imaging and behavioural data to understand the neural basis of audio-visual integration and adaptation

  2. Certificate in Quantitative Modelling

    Pazmany Peter Catholic University, Hungary
    Courses included: Programming, Mathematical Analysis, Discrete Mathematics, Statistics, Stochastic Processes

  3. Doctor of Medicine

    Semmelweis University, Hungary
Technical Skills
Python
PyTorch
sklearn
pandas
numpy
scipy
Data Science
Machine Learning
Statistics
Data visualization
SQL
Dev Tools
GIT Version Control
Azure Cloud Computing
Docker
Databricks
Biological Data
Imaging data
Multimodal data
Multi-omics data
Tabular data