Mengji Zhang
[Google scholar]
Basic information
- 26 years old
- Female
- Chinese
Research area
1. Computational metabolomics
2. Metabolite identification from MS/MS
3. Quantitative structure odor relationship
Education experience
Shanghai Jiao Tong University
Program: PhD student
Major: Biomedical engineering
Period: 2018.09-2022.06
Dongbei University of Finance & Economics
Program: Undergraduate
Major: Management Information System
Period: 2014.09-2018.06
Language
Contact me
E-mail: mengji.zhang0809@gmail.com
Github: https://github.com/mjDelta
Research experience
-
Shanghai Jiao Tong University, Shanghai, China
- PhD student supervised by Prof. Kun Qian
-
Data analysis of metabolomics
1. Preprocessing of spectral data by feature pyramids
2. Batch effect removal by normalization and GAN
3. High-quality MS data reconstruction by GAN
4. Multi-modal analysis: bi-modal of SERS and MS; bi-modal of metabolomics and proteomics
- Visiting student supervised by Prof. Tetsuya J. Kobayashi
-
Prediction of human olfactory perception by graph models
- Visiting student co-supervised by Prof. Jianyang Zeng and Prof. Kun Qian
-
Metabolite identification with MS/MS by language models
Publications
(11) Deep learning of dual plasma fingerprints for high-performance infection classification. Small 2022, 202206349.(Co-first author, IF 15.15)
(10) An Alloy Platform of Dual-Fingerprints for High-Performance Stroke Screening. Advanced Functional Materials 2022, 2210267.(Co-first author, IF 18.81)
(9) Integrative Serum Metabolic Fingerprints Based Multi-Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification. Advanced Science 2022, 2203786.(Co-first author, IF 16.80)
(8) Plasma metabolic signature of cardiovascular and cerebrovascular diseases from a large cohort study. Journal of Shanghai Jiao Tong University (Medical Science) 2022, 2, 259. (Co-first author)
(7) Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring. ACS Nano 2022. (Co-first author, IF 15.88)
(6) Ultra-Fast Label-Free Serum Metabolic Diagnosis of Coronary Heart Disease via a Deep Stabilizer. Advanced Science 2021, 8, 2101333.(First author, IF 16.80)
(5) Plasmonic alloys reveal distinct metabolic phenotype of early gastric cancer. Advanced Materials 2021, 33, 2007978.
(4) Urine Metabolic Fingerprints Encode Subtypes of Kidney Diseases. Angewandte Chemie-International Edition, 2020, 59, 1703.
(3) Metabolic fingerprinting on synthetic alloys for medulloblastoma diagnosis and radio therapy evaluation. Advanced Materials 2020, 32, 2000906.
(2) Predicting Stock Trends Based on News Events. Data Analysis and Knowledge Discovery, 2019, 3, 11. (First author)
(1) An Effective Optimization Algorithm for Application Mapping in Network-on-Chip Designs. IEEE Transactions on Industrial Electronics, 2019, 67, 5798. (IF 8.14)