Nine east 33rd street, Baltimore, America | +1 6674343405 | jleng10@jh.edu
Johns Hopkins University, Baltimore, America
September 2023 – May 2025(expected)
Master of Science in Bioinformatics
Fudan University, Shanghai, China
September 2020 – June 2023
Master of Science in Bioinformatics
Awards: Excellent Student Scholarship (2020-2021)；Awards: Title Scholarship (2021-2022)
Fudan University, Shanghai, China
September 2016 – June 2020
Bachelor of Science in Biology
Awards: Third-class Merit-based Scholarship for Undergraduate Students (2017-2018; 2018-2019)
A Spatiotemporal atlas of organogenesis in development of orchid flowers
Nucleic Acids Research / Accept / The second author
A recurrent SHANK1 mutation implicated in autism spectrum disorder causes autistic-like core behaviors in mice via downregulation of mGluR1-IP3R1-calcium signaling
Molecular Psychiatry / Accept / The seventh author
Fudan University September 2021 - June 2023
Researcher under Pro. Qi Ji
Project: Analysis of functional differentiation of gene families in spatial transcriptome of mouse embryos
In this study, we applied spatial transcriptome technique combined with self-designed spatial dynamic programming method and short time series expression analysis. By integrating mouse embryo datasets at four stages with Stereo-seq data set, we located functionally differentiated gene families both spatially and temporally, such as the HOX gene.
- Conducted traditional spatial transtriptome data workflow: quality control; normalization; PCA/U-MAP/T-SNE dimensional reduction; our own clustering method not yet published; find marker gene; cell type annotation; pseudotime and cell trajectory analysis; GO/KEGG analysis.
- Designed our own spatial dynamic programming method to identify spatially similar or differentially expressed gene families.
- Attempted several short time series expression analysis such as STEM and mfuzz.
Fudan University September 2020 - March 2022
Researcher under Pro. Qi Ji
Project: A Spatiotemporal atlas of organogenesis in development of orchid flowers
In this study, we innovatively applied spatial transcriptome technique on the organogenesis in buds of orchid flowers. After conquering the difficulties of adjusting experimental conditions and identifying differentially expressed genes, We succeeded to reconstruct a convincing model of floral organ development.
- Conducted traditional spatial transcriptome data workflow: Quality control; Normalization; PCA/U-MAP/T-SNE dimensional reduction; our own clustering method not yet published; Find marker gene; Cell type annotation; GO/KEGG analysis.
- Focused on specific genes involved in floral organ development and observed their expression at different locations in different slices.
- Applied Monocle3 to reconstruct flower development model and established a reasonable model.
Fudan University September 2019 - December 2019
Researcher under Pro. Weidong Tian
Project: Selecting the RNA Editing Sites in Gene Banks of Existing Species by Using Sprint
In this study, the sprint method independently developed by our lab was used to search for RNA editing sites in animals including rabbits, humans and chickens, which could identify RNA editing sites without consulting the SNP database of the species.
- Collected and extracted the RNA sequencing results of each species from online; processed the RNA sequencing results to detect the readable RNA editing sites by applying Sprint.
- Compared the RNA editing sites detected with the RNA editing sites detected by using other methodologies like JACUSA and GIREMI.
- Selected some RNA tandem repeats with repeatability higher than 3 for different species to avoid misidentification as editable SNP sites.
Fudan University September 2017 - June 2018
Researcher under Pro. Xiaohong Gong
Project: Locating the Lesion Spot of Mentally Ill Person’ Brain based on Analysis of Gene Sequences and Neuro-brain Imaging
In this study, our goal was to provide new clues for pathway research of mental illness through studying the neuro-brain images and the samples of gene sequences from the clinical patients and detecting the relationship between the lesion spots and genotypes of different mental diseases.
- Applied Matlab program to analyze the brain image; detected the most concentrated lesion area.
- Successfully located the possible regions of pathogenic genes through correlation analysis.
- Searched the possible gene pathway based on the lesion areas located to provide guidance for future research.
Volunteer, Zujia Museum, Fudan University September 2019 - December 2019
- Volunteered in Zujia museum; guided and introduced for the visitors; won the Excellent Volunteer Certificate.
Member, T.F Cosplay Society, Fudan University September 2017 - January 2019
- Participated in the 20th Shanghai Comic Up competition and entered the final; prepared for and performed on major school events.
Minster, Arts Division, Student Union, Fudan University February 2017 - July 2017
- Outreached for school activities; supported other departments in major activities; won the Excellent Cadre.
Conductor, Shanghai Urban Planning Exhibition Hall, Student Union, Fudan University September 2016 - June 2017
- Volunteer at the venue; guided and introduced for the visitors; received the volunteer certificate.
Computer: Linux, Python, R, Matlab
Technical: Single cell sequencing analysis, Spatial transcriptome analysis, Chip-seq analysis, SNP analysis, Phylogenetic analysis, WGCNA analysis
Interests: Chess (National Level II), Badminton, Painting (more than 6 years practice and training)