Tian Yang

Scientist, Protein Engineering @ ElevateBio

About

Synthetic biologist with diverse experiences in protein engineering, computational biology, metabolic engineering, and biocatalysis. Enthusiastic about AI + protein.

Country

United States

City

Durham

Industry

Biotechnology

Skill

Deep Learning, Computational Biology, Genome Engineering, Fast Protein Liquid Chromatography (FPLC), TFF, Directed Evolution, Next-Generation Sequencing (NGS), High Throughput Screening, Assay Development, Community Outreach, Mentoring, Protein Expression, Protein Assays, Confocal Microscopy, Event Planning, Genome Editing, Leadership, Communication, Collaboration, TensorFlow

Experience

Scientist, Protein Engineering

ElevateBio

2023-9 - Present · 3 yrs 1 mo

达勒姆, NC

Directed evolution of CRISPR gene editors to treat genetic diseases.

Graduate Research Assistant

Duke University Pratt School of Engineering

2018-8 - 2023-8 · 5 yrs 1 mo

Durham, North Carolina, United States

Advisor: Prof. Michael Lynch - Developed multiagent screening, a faster directed evolution approach leveraging enzyme functional promiscuity. - Investigated mechanism of distal specificity-altering mutations via computational structural analysis and quantitative proteomic. - Generated a multi-substrate combinatorial fitness landscape dataset that shines insights into enzyme promiscuity. - Benchmarked protein language models' (ESM, DeepSequence) performance on capturing the context-dependence of mutation effects and unnatural specificities. - Collaborated in multiple projects that resulted in 4 co-authored publications and 2 patents.

Teaching Assistant

Duke University Pratt School of Engineering

2019-8 - 2020-1 · 6 mos

Durham, North Carolina, United States

BME590L Biotech Design. Created and led lab sessions covering the expression, purification (IMAC, TFF, AKTA FPLC), and function assays (in vitro DNA cleavage, SHERLOCK, qPCR) of Cas9/Cas13a/Taq.

Research Assistant, Synthetic Biology

Tsinghua University

2017-8 - 2018-7 · 1 yr

Characterized a newly established CRISPR-Cas toolbox in Halomonas bluephagenesis, a promising extremophile chassis for industrial biotechnologies. (Advisor: Guo-qiang Chen)

Research Assistant, Medical Image Deep Learning

Tsinghua University

2017-1 - 2017-7 · 7 mos

Prepared datasets of human breast cancer slide images. Trained convolutional neural networks (Tensorflow) that detect cancer cells to assist with breast cancer diagnosis. (Advisor: Rui Jiang)