Jun Geng Email & Phone Number

中国 上海市

Multi-omics database mining and analysis, in-house big data target evaluation platform, AI aided algorithm design and development, oligonucleotide drug development, antibody engineering, novel target identification and evaluationIn house drug discovery platform design and optimization, including applying state-of-art AI algorithm to generate molecules, predict the ADMET properties and activities, using Rdkit to calculate the chemical molecular properties, and applying transformer based AI… Show more Multi-omics database mining and analysis, in-house big data target evaluation platform, AI aided algorithm design and development, oligonucleotide drug development, antibody engineering, novel target identification and evaluationIn house drug discovery platform design and optimization, including applying state-of-art AI algorithm to generate molecules, predict the ADMET properties and activities, using Rdkit to calculate the chemical molecular properties, and applying transformer based AI algorithm to generate molecules. big data platform construction, multi-omics data analysis and datamining.In house drug synergy platform development based on bioinformatics analysis of disease associated omics datasets, identifysignature of genes, applying graph convolution network to discover the novel target and synergy gene pairs. Show less

中国 上海市

database mining, in silico algorithm development for off target effects prediction, guide and support oligonucleotide therapeutics design; high-throughput omics data integrativation for computational platform development of functional novel drug modelity;machine learning and AI algorithm design, build in house automative computational power, significantly promote and accelerate oligonucleotides and other drug pipelines at the key milestonesdevelop novel AI platform that aided drug… Show more database mining, in silico algorithm development for off target effects prediction, guide and support oligonucleotide therapeutics design; high-throughput omics data integrativation for computational platform development of functional novel drug modelity;machine learning and AI algorithm design, build in house automative computational power, significantly promote and accelerate oligonucleotides and other drug pipelines at the key milestonesdevelop novel AI platform that aided drug discovery and development Show less

中国 上海市

As the first computational biologist in the team, lead and develop the cutting of edge in silico algorithm for off target prediction, as well as sequence selection and evaluation algorithm as the key in house platform to guide oligonucleotide therapeutics design and development, promote and accelerate pipeline development at key milestones. High-throughput omics data mining and integration, for functional novel drug developmentApply machine learning technique to drug design and… Show more As the first computational biologist in the team, lead and develop the cutting of edge in silico algorithm for off target prediction, as well as sequence selection and evaluation algorithm as the key in house platform to guide oligonucleotide therapeutics design and development, promote and accelerate pipeline development at key milestones. High-throughput omics data mining and integration, for functional novel drug developmentApply machine learning technique to drug design and oligonucleotides drug development Show less

Gothenburg, Sweden

1) Perform in-depth multi-omics data driven analysis, and mechanistically understand the fundamental causality between Type-II diabetic mellitus and human gut microbiome variations; 2) Explore machine learning directed mechanistic understanding on the pathophysiology of T2D associated metabolic disturbances3) Construct quantitative genome-scale models and dynamically integrate drug usage with high-throughput microbial growth4) Design… Show more 1) Perform in-depth multi-omics data driven analysis, and mechanistically understand the fundamental causality between Type-II diabetic mellitus and human gut microbiome variations; 2) Explore machine learning directed mechanistic understanding on the pathophysiology of T2D associated metabolic disturbances3) Construct quantitative genome-scale models and dynamically integrate drug usage with high-throughput microbial growth4) Design personalized medicine by novel computational platform and visualization software Show less

1) Designed novel in silico platform for microbiome-directed therapeutics via advanced analytical and modeling approaches2) Developed quantitative and predictive modeling for complex network interactions based on pathway analysis3) Constructed a comprehensive modeling framework for quantitative, spatiotemporal and multi-dimensional characterization of human gut microbiota4) Conducted statistical methodology and correlated to physiology based on random sample genome-scale flux… Show more 1) Designed novel in silico platform for microbiome-directed therapeutics via advanced analytical and modeling approaches2) Developed quantitative and predictive modeling for complex network interactions based on pathway analysis3) Constructed a comprehensive modeling framework for quantitative, spatiotemporal and multi-dimensional characterization of human gut microbiota4) Conducted statistical methodology and correlated to physiology based on random sample genome-scale flux distribution Show less

West Lafayette, Us

Doctor Of Philosophy - Phd, Electrical Engineering Technologies/Technicians-Control Theory And Control Engineering

Thesis: Modeling Framework Construction and Process Optimization of Biological Systems with Enzymatic Regulation i) Proposed a strategy.

Master'S Degree, Electrical And Electronics Engineering

Thesis: Cybernetic Modeling Application in Industrial Penicillin Fermentation Process Aiming to improve the yield and productivity.

Bachelor'S Degree, Automotive Engineering Technology/Technician, Gpa：94 / 100 (Rank: 2/130)

Honors/Awards: Excellent Student Cadre, Shanghai Municipal Education Commission (Top 1‰) ; Outstanding Undergraduate Thesis; Outstanding.