Introduction

I am a bioinformatician/ data scientist with a background in Biology. I was formally trained as an experimental scientist, got my BSc. and MSc. degrees in Molecular Biology. My PhD research was in the area of Computational Biomedicine, at the intersection of Biology, Medicine, Mathematics and Computer Science. Particularly, I am interested in leveraging machine learning and statistical approaches to understand diseases and discover biomarkers that benefit patients and further advancing precision medicine.

Work experience

Oct 2024 - present	Postdoctoral researcher Computational Health Department - Helmholtz Munich Leveraging machine learning and longitudinal healthcare datasets for translational precision medicine for diabetes and cardiovascular diseases
Jun 2020 - Sep 2024	PhD candidate Computational Health Department - Helmholtz Munich Interpretable integration of multimodal datasets to build prognostic models for understanding the pathology and biomarker discovery of complex diseases
Nov 2019 - Jun 2020	Intern Computational Health Department - Helmholtz Munich Bayesian inference and investigating the impact of ancestry information on differential drug response in high throughput screen of cancer cell lines
Oct 2016 - Sep 2017	Consultant Asia Genomics Non-invasive genetic testing using ctDNA in liquid biopsy for screening and diagnosis of cancers and prenatal disorders
Jul 2014 - Sep 2014	Intern Nanogen Pharmaceuticals Transfomration and in vitro cloning of marker genes

Background

Jun 2020 - Sep 2024	PhD in Computational Biomedicine Ludwig-Maximilian University Munich Thesis: Leveraging Interpretable Machine Learning for Multiomic and Clinical Data Integration in Biomarker Discovery for Precision Medicine
Sep 2017 - May 2020	MSc. in Molecular Biology Ludwig-Maximilian University Munich Thesis: A highly efficient RNA extraction method for RNA-seq protocol
Sep 2011 - Jun 2015	BSc. in Biotechnology Vietnam National University HCMC Thesis: Optimization of high resolution melt method for analysis of a miRNA SNP in Vietnamese breast cancer population

Selected publications

For a full list of publications please visit my Google scholar.

1. The Interpretable Multimodal Machine Learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy Communications Medicine, Dec 16, 2024 Show publication

2. Prime-seq, efficient and powerful bulk RNA sequencing Genome Biology, Mar 31, 2022 Show publication

3. Artificial intelligence and machine learning in diabetes research Der Diabetologe, Oct 6, 2021 Show publication

4. Leveraging Pretrained Large Language Model for Prognosis of Type 2 Diabetes Using Longitudinal Medical Records medRxiv, Feb 05, 2025 Show publication

Conference attendance

Date	Conference
Oct 2022	European Association for the Study of Diabetes (EASD) 58th Annual Meeting, Artificial Intelligence and Machine Learning in Diabetes Research, Keynote talk
July 2023	Intelligent Systems for Molecular Biology (ISMB) 31st Conference, The Interpretable Multimodal Machine Learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy, Poster presentation
Sep 2024	European Conference in Computational Biology (ECCB) 23rd Conference, Leveraging pretrained large language model and longitudinal medical records for prognosis of type 3 diabetes, Poster presentation

Awards and recognitions

Outstanding Young Investigator DZD Award	Issued by German Center for Diabetes Research (DZD), Apr 2024
Full scholarship of the first academic year	Issued by Vietnam National University HCMC, Sep 2011

Contact

You could reach me on most of the social platforms. You can also drop me a message here to get in touch.