ABOUT

Hello, I'm Bundit, a Ph.D. candidate in Information Science and Technology at Natural Language Processing and Representation Learning Lab (NRL), Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand. I received a B.Sc. degree in Chemistry from Prince of Songkla University, Thailand and an M.S. degree in Biochemistry from Kasetsart University, Thailand.

Success isn't born from brilliance,

it’s built through implementation.

MY RECENT ACHIEVEMENTS

2025
VISTEC Honors for Outstanding Achievements that Brought Recognition to the Institute (Apr 2024 – Mar 2025)
2024
Remarkable Ranking in the Top 20 (17th Place Out of 79 Participating Teams) for the Tox24 Challenge
2024
Best Oral Presentation in Computational Biology Session, The 27th International Annual Symposium on Computational Science and Engineering (ANSCSE27)
2023
JSTP Mentor for High School Student and Received Long-term Scholarship, National Science and Technology Development Agency (NSTDA)
2023
Research Advisor for Genius Olympiad Finalists and Received Honorable Mention Award in Science, Genius Olympiad 2023
2023
Research Advisor for ISEF Finalists and Received Fourth Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2023
2023
Research Advisor for High School Students and Received Top Award and First Award of Thailand in Interdisciplinary Fields (Computational Biology & Bioinformatics), and Second Award of Thailand in Computer Science, Young Scientist Competition (YSC) 2023
2022
Research Advisor for Genius Olympiad Finalists and Received Bronze Medal in Science, Genius Olympiad 2022
2022
Research Advisor for ISEF Finalists and Received First Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2022
2022
Research Advisor for High School Students and Received Top Award, First Award, and Second Award of Thailand in Interdisciplinary Fields (Computational Biology & Bioinformatics), Young Scientist Competition (YSC) 2022
2021
Research Advisor for Genius Olympiad Finalists and Received Gold Medal in Science, Genius Olympiad 2021
2021
Research Advisor for ISEF Finalists and Received First Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2021
2021
Research Advisor for High School Students and Received Championship of Thailand in Computer Science, Young Scientist Competition (YSC) 2021
2020
Research Advisor for High School Students and Received Championship of Thailand in Computer Science, Young Scientist Competition (YSC) 2020

EXPERIENCES

Recent Invited Talks

Talk 106 – Paperwork, Project Display and Project Materials Preparation & Creative Design for Project Display, Quad Chart, and Project Presentation
for Regeneron ISEF 2025 Finalists (Fair: Young Scientist Competition (YSC), THA002)
Organized by National Science and Technology Development Agency (NSTDA)

Venue: Sirindhorn Science Home, Science Park, Pathum Thani
Date: Mar 17–18, 2025

Talk 105 – Jump-start Science Project
NSTDA Summer Research Experience Program: NSTDA-SREP 2025
for Grade 10–12 Students and Teachers
Organized by National Science and Technology Development Agency (NSTDA)

Venue: Sirindhorn Science Home, Science Park, Pathum Thani
Date: Mar 12, 2025

Outstanding Extracurricular Activities

Regeneron International Science and Engineering Fair 2024-2025 (Regeneron ISEF 2024-2025)
Staff and Research Mentor
Fair: THA002 – Young Scientist Competition
Year: 2024–2025
Regeneron International Science and Engineering Fair 2022 (Regeneron ISEF 2022)
Thai Interpreter
Year: 2022
Thailand Machine Learning for Chemistry Competition (TMLCC)
Organizer and Speaker
Lecture: Machine Learning for Molecular Chemistry in a Nutshell
Year: 2021
The White Room Enterprise Co., Ltd.
Co-founder
Science camps for students interested in science and education and charity camps for students underprivileged in science education
Year: 2012 – Present
12th Young Webmaster Camp, Thailand Webmaster Association
Organizer
Year: 2015

Research Experience

Artificial Intelligence-driven Prediction of Molecular Properties and Bioactivity for Cancer Therapeutics Using Graph Neural Networks
Mentors: Assoc. Prof. Dr. Sarana Nutanong, and Assoc. Prof. Dr. Thanyada Rungrotmongkol
Year: 2018 – Now
Computational Screening of Tripeptides Against Kinase-Domain for Human Epidermal Growth Factor Receptor 2 (HER2)
Research Experience at NSTDA, Thailand (JSTP Scholarship)

Mentors: Assoc. Prof. Dr. Kiattawee Choowongkomon, Dr. Sissades Tongsima
Year: 2014 – 2017
Characterization of Gelatin From Silver Carp Skin As Influenced by Acid Pretreatment
Research Experience at Fac. Agro-Industry, PSU, Thailand (JSTP Scholarship)

Mentor: Prof. Dr. Soottawat Benjakul
Year: 2011 – 2012

RESEARCH INTERESTS

The research focuses on discovering, designing, and developing computational frameworks and ML/DL models by integrating cutting-edge AI and computational approaches, striding forward in advancing both fundamental understanding and translational applications across biomolecular science and biomedicine.

The current research lines encompass the following areas:

Molecular Representation Learning & Computations
Develops computational frameworks and models to represent and interpret complex molecular and biological data.
Molecular Discovery & Design
Discovers and designs novel therapeutic and biological molecules to specific biological activities and targets.
Molecular Modeling & Simulation
Simulates and models the structure, dynamics, and interactions of biomolecules to uncover molecular mechanisms and functions.

BAID Research Team

The Biomolecular Artificial Intelligence & Digital Biochemistry (BAID) team is an interdisciplinary research group committed to transform the dynamic landscapes of biomolecular science and biomedicine by discovering, designing, and developing advanced AI models and computational frameworks, striding toward real-world impact and accelerated scientific discovery.

(Click arrow for more information about BAID research team)

RESEARCH ADVISEMENT (High School)

Deep Learning with Transfer Learning and Graph Neural Network Techniques for Discovering Inhibitors Against NMDA Receptor and Predicting Blood-Brain Barrier Permeability

Students: 1. Phongsakorn Sriwicha
Advisors: Bundit Boonyarit
School: Sakolraj Wittayanukul School
Year: 2024 – 2024

Machine Learning Assisted Biomarker Discovery for Lung Cancer Diagnosis Based on Multi-omics Data

Students: 1. Panuwat Wongpattanawut, 2. Phurivet Methmaolee
Advisors: Theerawut Chantapan and Bundit Boonyarit
School: Princess Chulabhorn Science High School Mukdahan
Year: 2022 – 2023

Enhancing Deep Learning Model Toward Predicting Synergistic Cancer Drug Combinations Based on Drug Structures and Multi-omics

Students: 1. Tisorn Na phattalung, 2. Matin Kositchutima, 3. Kittiphat Pongarunotai
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2022 – 2023

Machine Learning Enables Enzyme Kinetics Prediction of Glycosidases Based on Molecular Descriptors and Physicochemical Properties

Students: 1. Tisorn Na phattalung, 2. Surapa Panjaphakdee, 3. Matin Kositchutima
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022

Hybrid Graph Attention Networks Toward Cancer Drug Response Prediction using Chemical Structure and Multi-omics

Students: 1. Pawit Kaewnuratchadasorn, 2. Wutthipong Chongchareansanti, 3. Nattawin Yamprasert
Advisors: Dr. Sarote Boonseng and Bundit Boonyarit
School: Mahidol Wittayanusorn School (MWIT)
Year: 2021 – 2022

Data Analysis of Effective Ligands to Inhibit the Activity of P2Y12 Leads to Drug Discovery and Design for Thromboembolic Treatment

Students: 1. Thiranich Sawatdipap, 2. Phanfa Laohasinnuruk
Advisors: Dr. Tanawan Leeboonngam and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022

Semi-supervised Learning with Graph Neural Networks for Drug Response Prediction Leads Discovery of HIV Inhibitors

Students: 1. Theeradon Sakpetch, 2. Phandej Soisamuth
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022

Deep Transfer Learning-Based Hit Compound Classification for Heart Failure Drug Discovery on Small Datasets

Students: 1. Parajaree Ungudonpakdee, 2. Thanasan Kumdee
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021

An Integrated Multi-task Learning and Transfer Learning-based Approach for Structure-Property Leads Drug Discovery for HIV and HCV Protease Inhibitors

Students: 1. Theeradon Sakpetch, 2. Phandej Soisamuth
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021

EGFRNet: Transfer and Multi-task Learning Based on Graph Convolutional Network Toward Multi-target Drug Discovery Against Cancers for EGFR-Family Proteins

Students: 1. Natthakan Saeng-nil, 2. Puri Virakarin
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021

Application of Machine Learning Technique Assisted Bioactivity Prediction of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR

Students: 1. Natthakan Saeng-nil, 2. Puri Virakarin
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2019 – 2020

Computational Analysis of Glucagon Receptor (GCGR) and Antagonists Structure for Screening Anti-Diabetics Compounds

Students: 1. Chawapon Tritipchatsakun, 2. Thanis Prucksikanont
Advisors: Pimsiri Danphitsanuparn and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2018 – 2019

Graph Convolutional Network (GCN)
Graph Attention Network (GAT)
Spatial Graph Embedding Network
Transfer Learning
Multi-task Learning
Semi-Supervised Learning
Unsupervised Pretraining

BioXcepTion

BioXcepTion is a high school student research team with a particular emphasis on Computational Biology, Computational Chemistry, and Artificial Intelligence.

(Click arrow for more information about our student research team)

PERSONAL

I also have other interests including graphics design, presentation design, web design, online learning design, and server administration.

Graphics & Presentation Design

I have been interested in graphics and presentation design since I was an undergraduate student. I am most good a PR media design such as posters, brochures, and book covers. I have also been invited to lecture on the design for research presentation to school students and researchers.

Online Learning Design

I got an excellent chance from the Department of Chemistry, Faculty of Science Chulalongkorn University to build online learning for Stereochemistry Lecture Series. This lesson is used in organic chemistry classes for undergraduate students. The instructional material includes videos and interactive activities.

Server Administration

I also have been interested in server administration for computational science research. In basic, I have used CentOS operating system and Slurm job scheduler for operation and management. For more detail, you can visit my GitHub for the setup instruction.

CONTACT

Bundit Boonyarit
Email: [email protected], [email protected]

Natural Language Processing and Representation Learning Lab (NRL)
School of Information Science and Technology (IST)
Vidyasirimedhi Institute of Science and Technology (VISTEC)

555 Moo 1, Pa Yup Nai, Wang Chan, Rayong 21210, THAILAND