"As to methods there may be a million and then some, but principles are few. The man who grasps principles can successfully select his own methods. The man who tries methods, ignoring principles, is sure to have trouble."
Ralph Waldo Emerson
Dr. Nguyen Phuoc Long is a young scientific enthusiast with a combined background of clinical medicine, omics sciences, and data science. He graduated from University of Medicine and Pharmacy at Ho Chi Minh City as an M.D. (2015), and he is currently a Ph.D. candidate at College of Pharmacy, Seoul National University (2016 - now).
He believes that the integrative data-driven and knowledge-based implementation will give a huge impact on the progress of precision medicine. Up to this point, he collaborates closely with his colleagues on utilizing multi-omics platforms including transcriptomics, (pseudo-)proteomics, and lipido-metabolomics to facilitate the advancement of translational research and precision medicine. His research focuses on the integration of omics platforms and machine learning in biomarker discovery and validation. He also has a keen interest in finding the mechanisms of various diseases, especially cancers and neurological disorders, at the molecular level. Besides, he has developed and optimized some mass spectrometry-based metabolomics and lipidomics methods for the analysis of multiplex biomedical matrices. Improving computational pipelines for lipidomics and metabolomics research is also his interest. Last but not least, environmental pollution and the global burden of diseases have lately become his research routine.
A mixed background in biomedicine, omics sciences, and data science has given Dr. Long a unique opportunity to work in dynamic and cutting-edge projects. In the near future, he would like to extend his capability to fit the requirements of the sophisticated multi-omics integration approaches of which metabolomics is the core to extend the frontiers of transnational and clinical medicine.
- Systems medicine
- Omics sciences
- Cancer research
- Biomarker discovery and validation
- Biostatistics and machine learning
- Data science
- Environmental health
- Mass spectrometry
Full CV of Dr. Long can be found here.
Recent representative works
Very short update of personal activities
Update 18 September 2019
It's efficient to use lme4 and geepack for the longitudinal data modeling. However, please be cautious.
Update 29 April 2019
It's time to try some professional Bayesian data analyses.
- BEST (t-distribution) is a robust R package for a considerable types of analyses.
Update 8 February 2019
I am about to complete my Ph.D. journey. What's more, I'm now a member of a multidisciplinary team of clinical metabolomics!
- Have passed two defense rounds (latest update on 18 Jun 2019). One more to go (8 July 2019)!
- I am expected to receive the title of Ph.D. early next year (Feb 2019).
Update 9 January 2019
Started to work on my desired project on pan-cancer and multi-omics with my great collaborators. Good luck to us!
Update 16 December 2018
My first co-author contribution on the field of environmental health is published on Environmental pollution. Congratulations our great team!
Update 5 December 2018
Spend more time to strengthen my mathematical background for statistical learning.
Update 31 August 2018
The first draft of our review regarding a famous family of transcription factors and their roles in cancer is completed. It is going to be submitted soon early September.
- Accepted and published by International Journal of Molecular Sciences. (Link)
Update 18 August 2018
Have achieved intermediate level of Python for data science and bioinformatics. Still using R as my main environment.
- Python programmer track completed (36+ hours with 10 courses) (30 September 2018).
- Python is awesome!
Update 09 July 2018 (started from late 2016):
Being involved in fascinating projects that utilize multi-omics data analysis to get better insights into the pathobiology of various cancers and neurological diseases.
- A manuscript about X-linked adrenoleukodystrophy is about to be submitted (31 July 2018).
- Now published on Biochemical and Biophysical Research Communications (Nov 2018).
- A manuscript about breast cancer had been submitted (20 July 2018).
- Now published on Frontiers in Oncology (Feb 2019).
Update 02 July 2018:
Small achievement of the year: h-index of 5 (Google Scholar).
- 27 Nov 2018: h-index of 6 (Google Scholar).
- 21 Feb 2019: h-index of 7 (Google Scholar).
- 18 Jun 2019: h-index of 8 (Google Scholar).
Update 01 June 2018:
I am getting my very first steps on RNA-seq data management, manipulation, and analysis. Exciting! Big thanks to all of the giants of this field!
- Started to work with multi-omics integration: Unsupervised and supervised methods (13 March 2019).
- Feel quite comfortable to work with QC and all preparation steps for RNA-seq data as well as DE analysis in R (from the raw count files) (1 March 2019).
- RNA-Seq Differential Expression Analysis by Datacamp (18 Feb 2019).
- Single-cell RNA-seq statistical analysis and visualization by Datacamp (13 Sep 2018).
- Have done a full NGS analysis pipeline for a simple sample (25 July 2018).
- There have been much more to learn. Python for bioinformatics on the way!
Update 23 May 2018:
A mixed background in biomedicine, omics science, data science, and biochemical analysis has given me an unique opportunity to work in various fields of biomedical sciences. In the near future, I would like to extend my capability to fit the requirements of the multi-omics integration approach for precision medicine in oncology and neurology.
Update 07 April 2017:
Welcome to the world, my lovely daughter!