Scholar
Jiecong Lin
Google Scholar ID: eIzs7NUAAAAJ
Postdoctoral Research Fellow, Harvard Medical School/MGH/BCH and HKU
Citations & Impact
Citations
779
H-index
11
i10-index
13
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications include: EPInformer: a scalable deep learning framework for gene expression prediction by integrating promoter-enhancer sequences with multimodal epigenomic data. Scalable assessment of genome editing off-targets associated with genetic variants. Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE. UniPTM: Multiple PTM site prediction on full-length protein sequence. HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Precise DNA cleavage using CRISPR-SpRYgests. Human genetic diversity alters off-target outcomes of therapeutic gene editing. A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level. An artificial intelligence approach for gene editing off-target quantification: Convolutional self-attention neural network designs and considerations.
Research Experience
- Currently a joint postdoctoral research fellow at Harvard Medical School/MGH/BCH and The University of Hong Kong, working with Prof. Luca Pinello (MGH), Prof. Daniel Bauer (BCH), and Prof. Ruibang Luo (HKU).
Education
- PhD: Bioinformatics Lab, City University of Hong Kong, Supervisor: Prof. Ka-Chun Wong, Graduated in 2021.
Background
- Research Interests: Computational biology, developing advanced deep learning models to unlock gene regulation from genomic sequences; evaluating off-target effects of CRISPR. Professional Field: Computational Biology.
Miscellany
- Contact: Email: jieconglin(at)outlook(dot)com, Twitter: https://twitter.com/jasonlinjc, Researchgate: https://www.researchgate.net/profile/Jiecong-Lin
Co-authors