Nhat Truong Pham
Ph.D. Student in Integrative Biotechnology specializing in 🧬Applied Machine Learning/Deep Learning for Computational Biology and Bioinformatics🧬
Room 62105, Biotechnology and Bioengineering Building 2, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, Republic of Korea
Short Bio: My name is Phạm Nhật Trường - Vietnamese. I am currently a first/second-year Ph.D. Student at the Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University (SKKU), Republic of Korea. I am working under the guidance of Assistant Professor Balachandran Manavalan in the Computational Biology and Bioinformatics Laboratory. Prior to joining SKKU, I have worked as an Assistant Researcher at Ton Duc Thang University (TDTU), Vietnam. I completed my M.E. degree in Automation and Control at TDTU, where I was supervised by Dr. Sy Dzung Nguyen and co-supervised by Dr. Duc Ngoc Minh Dang. I also hold a B.E. degree in Electronics and Telecommunication from TDTU, which I obtained in 2019 under the supervision of Dr. Duc Ngoc Minh Dang.
Research Interests: Artificial Intelligence, Computational Intelligence, Deep Learning, Machine Learning, Signal Processing, XAI & Optimization, and their applications in the fields of Affective Computing, Audio & Speech Processing, Bioinformatics, Computational Biology & Medicine, Computer-aided Drug Design, Multi-omics, NeuroAI, Protein Design, and Protein Functional & Structural Prediction.
Inspirational Quotes:
Your origin does not determine what kind of person you are. Only you can decide who you become.- Meng Chih Chiang
Life can be heavy, especially if you try to carry it all at once.- Taylor Swift
Life can be seen as a balance between positive and negative aspects throughout its entirety. Therefore, it's essential to cherish every moment and embrace life fully.- Nhat Truong Pham
Latest News
Apr 18, 2024 | One manuscript entitled “ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning” has been accepted for publication in the Molecular Therapy - Nucleic Acids journal |
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Apr 12, 2024 | Our project, entitled “Enhancing m6A RNA modification prediction across cell lines and tissues using biological language models and a contrastive learning framework”, has been selected for the High-Performance Computing Support Project by the Korea Association for ICT Promotion (KAIT), Republic of Korea |
Apr 1, 2024 | Our project, entitled “Enhancing Peptide-HLA Class I Binding Prediction through Siamese Network-Based Contrastive Learning Framework with Feature Fusion (펩타이드-HLA Class I 결합 예측 강화를 위한 특징 융합 기반 시암 네트워크 대조 학습 프레임워크)”, has been selected for the 2024 1st K-BDS analysis infrastructure utilization support program ([Track I] Large innovation research) by the Korea Bio Data Station (K-BDS), Korea Institute of Science and Technology Information, Republic of Korea |
Mar 12, 2024 | Our Research Story (KOR/ENG) regarding the recently published papers in the Briefings in Bioinformatics journal has been highlighted on SKKU’s Research Stories (KOR/ENG) |
Jan 8, 2024 | Our paper, entitled “H2Opred: a robust and efficient hybrid deep learning model for predicting 2’-O-methylation sites in human RNA”, recently published in the Briefings in Bioinformatics journal, has been cataloged in Hanbitsa Paper of the Biological Research Information Center (BRIC) |
Selected Publications
(†) denotes equal contribution
(*) denotes correspondance
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