"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 in modern biomedicine. 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).
During his undergraduate period, he selectively focused on studying molecular cell biology, biochemistry, and bio-statistics to prepare for a long-term research journey on molecular medicine. It is also of importance to note that Dr. Phung Trung Hung introduced "omics" to Dr. Long during a special training period (one mentor and one mentee).
He collaborates with his colleagues on utilizing multi-omics platforms to facilitate the advancement of translational research and precision medicine. His current research focuses on the integration of omics platforms and machine learning in biomarker discovery and validation. Besides, he has developed and optimized mass spectrometry-based metabolomics and lipidomics methods for the analysis of various biomedical matrices. He also has a keen interest in finding the mechanisms of various diseases, especially cancers and neurological disorders. Last but not least, environmental pollution and the global burden of diseases have lately become his new research habit.
- Systems medicine
- Omics sciences
- Cancer research
- Biomarker discovery and validation
- Biostatistics and machine learning
- Data science
- Mass spectrometry
Full CV of Dr. Long can be found here.
Recent representative works
Very short update of personal activities
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 medical ecology 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).
Update 02 July 2018:
Small achievement of the year: h-index of 5 (Google Scholar).
- 27 Nov 2018: h-index of 6 (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!
- Single-cell RNA-seq statistical analysis and visualization (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!