CV

Education

Ph.D. in Biomedical Engineering, University of Michigan, USA August 2022 - May 2026
M.S. in Biomedical Engineering, University of Michigan, USA August 2020 - May 2022
B.S. in Computer Engineering, Chiang Mai University, Thailand August 2015 - May 2019

Research experience

November 2020 - May 2026: Graduate student research assistant @ Lana Garmire Group University of Michigan, Ann Arbor, MI, USA
- Using machine learning and deep learning approaches for biomarker discovery and predictive analysis
- Performing single-cell RNA sequencing data analysis
- Performing spatial transcriptomics data analysis
- Contributing to proposals, reports, and manuscripts. Carrying out literature reviews of bioinformatics, cancer, and placental biology
- My current research interests include, but are not limited to, single-cell and spatial transcriptomic analysis of cancer and placenta tissues, integrating spatial transcriptomics with graph neural network models for cell-cell communication inference, and drug repurposing using spatial transcriptomic data.
January 2020 - June 2020: Undergraduate student research assistance @ Computational Intelligence Laboratory Chiang Mai University, Chiang Mai, Thailand
- Collaborated with a multi-disciplinary team to identify variants in patients with hereditary gingival fibromatosis
June 2018 - July 2018: Undergraduate student research assistance @ SHIMODA Laboratory Kyoto University, Kyoto, Japan
- Contributed to the development of the haptic feedback device for a realistic experience of grinder accidents
June 2017 - August 2017: Undergraduate student research assistance @ OASYS Research Group Chiang Mai University, Chiang Mai, Thailand
- Responsible for general hardware tasks
- Contributed to the optimization of the device for measuring the depth of the riverbed

Presentations

Lahiri, S., Unjitwattana, T., Dong, K., Du, Y., Girard, S., & Garmire, L. (2024, May 18). Building a rigorous placenta atlas to enable pregnancy research [Poster presentation]. DahShu 2024 Data Science Symposium, Michigan State University, Michigan.
Unjitwattana, T., Huang, Q., Du, Y., Yang, Y., Zhou, M., & Garmire, L. (2023, October 6). Cell origin deconvolution pipeline for scRNA-seq data [Poster presentation]. MidAtlantic Bioinformatics Conference 2023, University of Pennsylvania, Pennsylvania.
Unjitwattana T., Yadav S., He B., & Garmire, L. (2022, July 10). Single Cell Pathway Embedding Neural Network (scPENN) for Single Cell RNA-Seq Analysis [Poster presentation]. Intelligent Systems for Molecular Biology (ISMB) 2022.

Publications

HisToSpatialCNV: an interpretable deep learning method predicting spatial copy number variations from histopathology images

Tianao Chen, Thatchayut Unjitwattana, Xuhui Guo, Pooja Thakur, Shu Zhou, Zheng Jing, Yiwen Yang, Yuheng Du, Weiping Zou & Lana X. Garmire

Single-cell RNA-seq data have prevalent blood contamination but can be rescued by Originator, a computational tool separating single-cell RNA-seq by genetic and contextual information

Thatchayut Unjitwattana, Qianhui Huang, Yiwen Yang, Leyang Tao, Youqi Yang, Mengtian Zhou, Yuheng Du & Lana X. Garmire

Preprints

[Preprint] STDrug enables spatially informed personalized drug repurposing from spatial transcriptomics

Yiwen Yang, Thatchayut Unjitwattana, Shu Zhou, Suguru Kadomoto, Xiaotong Yang, Tianao Chen, Abdullah Karaaslanli, Yuheng Du, Wanxing Zhang, Haodong Liang, Xuhui Guo, Evan T Keller & Lana X Garmire

[Preprint] Linking Spatial Omics to Patient Phenotypes at Population Scale Using BSNMani

Tong Liu, Yiwen Yang, Haowen Wu, Thatchayut Unjitwattana, Suyuan Wang, Jian Kang, Yijun Li & Lana X Garmire

Honors & awards

Thai Government Science and Technology Scholarship
- Issued by The Ministry of Higher Education, Science, Research Innovation; The Royal Thai Government · Dec 2019

Skills

Bioinformatics
- single cell RNA (scRNA)-seq analysis
- Spatial transcriptomic analysis
Machine learning
Deep learning
Electronics & hardware design
Hardware development
- Arduino IDE

Thatchayut (Tay) Unjitwattana

CV