Tongjun Gu

Tongjun Gu,

AST SCTST

Department: PHHP-COM BIOSTATISTICS
Business Phone: (414) 937-3884
Business Email: tgu@ufl.edu

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About Tongjun Gu

Dr. Gu is an Associate Scientist in UF Interdisciplinary Center for Biotechnology Research and a courtesy faculty in UF Department of Biostatistics. She is a member of Division of Quantitative Sciences, UF Health Cancer Center, and a member of UF Center for Genetic Epidemiology and Bioinformatics. Dr. Gu obtained her B.S. on Biomedicine Engineering from Huazhong University of Science and Technology and Ph.D. on Bioinformatics from Institute of Biophysics Chinese Academy of Sciences in China. Then she came to US and did her Postdoc training in The Jackson Laboratory. Before she joined UF, she worked in University of Chicago as a Research Professional.

Additional Positions:
Courtesy Associate Scientist
2022 – Current · UF Department of Biostatistics

Accomplishments

  1. Revierwers’ Choice Abstracts

    American Society of Human Genetics

  2. Postdoc fellowship

    The Jackson Lab

  3. Travel fellowship

    The 22nd CDB Meeting, RIKEN CDB, Japan

Research Profile

Dr. Gu’s search focuses on developing and applying Artificial Intelligence algorithms and statistical models, particularly deep learning and machine learning, for understanding the complex biological systems and human diseases. She has intensive training and experiences on genetics, genomics, epigenetics, genome wide association studies, cancer biology, RNA sciences and alzheimer’s disease. She is particularly interested in integrating multi-omics data into one model to study their interactions and identify the key elements and the interactions caused the disease to assist the early diagnosis and personalized treatment.

Publications

Academic Articles

Presentations

  1. An interpretable deep learning-based approach for miRNA target prediction

    State / Invited. [Speech]. Division of Quantitative Sciences at the University of Florida Health Cancer Center,

  2. miTAR: an interpretable deep learning-based approach for predicting miRNA targets

    State / Invited. [Speech]. UF Health Cancer Center,

  3. Deep Learning-an emerging Machine Learning algorithm in Artificial Intelligence-advances cancer study

    State / Invited. [Speech]. UF Health Cancer Center,

  4. Integrating multi-platform genomic datasets for cancer subtype discovery using denoising autoencoders

    International / Invited. [Speech]. Cold Spring Harbor Lab,

  5. Clinical relevance of non-coding A-to-I RNA editing in multiple human cancers

    International / Invited. [Speech]. American Society of Human Genetics ,

  6. Genetic Architectures of Quantitative Variation in RNA Editing Pathways.

    International / Invited. [Speech]. Highlight Track at Intelligent Systems for Molecular Biology ,

  7. Genetic Architectures of Quantitative Variation in RNA Editing Pathway

    International / Invited. [Speech]. TransMed Special Interest Group Meetings at Intelligent Systems for Molecular Biology ,

  8. Brain 5-hydroxymethylcytosine (5hmC) and Alzhermer’s Disease

    National / Invited. [Speech]. Annual Rush Alzheimer’s Disease Center ROSMAP Investigator’s Meeting,

Contact Details

Phones:
Business:
(414) 937-3884
Emails:
Business:
tgu@ufl.edu
Addresses:
Business Mailing:
PO BOX 103622
GAINESVILLE FL 326110001
Business Street:
ICBR
2033 MOWRY RD
CANCER & GENETICS RESEARCH COMPLEX (CGRC)
GAINESVILLE FL 326103010