Yujin Wen

Applied Research Scientist

Research Interests

Data Science
Statistics
Artificial Intelligence
Soil Science
Agronomy and Crop Science
Food Animals
Ecology
Food Science
Biochemistry
Plant Science
Animal Science and Zoology
Public Health, Environmental and Occupational Health

About

Applied research scientist with over 10 years of experience in developing real-world machine learning applications. Possess a strong working knowledge of state-of-the-art LLM, traditional NLP, and classical machine learning models. Proficient in Python programming and familiar with major ML/AI frameworks including scikit-learn, PyTorch, and H2O. Holds an MS in Statistics and a PhD in Engineering.

Publications

Phenotypical Responses of Cotton and Relation to Lint Yield Under Deficit Irrigation Schemes in Semi‐Arid Environments

Agronomy Journal / Jul 01, 2018

Wen, Y., Darapuneni, M. K., Chen, D., Piccinni, G., Cothren, T., Leskovar, D., Pavuluri, K., & Rowland, D. (2018). Phenotypical Responses of Cotton and Relation to Lint Yield Under Deficit Irrigation Schemes in Semi‐Arid Environments. Agronomy Journal, 110(4), 1339–1353. Portico. https://doi.org/10.2134/agronj2017.12.0735

GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network

Advances in Knowledge Discovery and Data Mining / Jan 01, 2021

Wan, Y., Liu, Y., Wang, D., & Wen, Y. (2021). GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network. In Lecture Notes in Computer Science (pp. 66–77). Springer International Publishing. https://doi.org/10.1007/978-3-030-75762-5_6

Evaluation of work resumption strategies after COVID-19 reopening in the Chinese city of Shenzhen: a mathematical modeling study

Public Health / Apr 01, 2021

Bai, L., Lu, H., Hu, H., Smith, M. K., Harripersaud, K., Lipkova, V., Wen, Y., Guo, X., Peng, W., Liu, C., Shen, M., Shen, A. C., & Zhang, L. (2021). Evaluation of work resumption strategies after COVID-19 reopening in the Chinese city of Shenzhen: a mathematical modeling study. Public Health, 193, 17–22. https://doi.org/10.1016/j.puhe.2020.12.018

Spatial distribution of potassium uptake across the cotton plant affects fiber length

Field Crops Research / Jun 01, 2016

Chen, Y., Li, Y., Hu, D., Zhang, X., Wen, Y., & Chen, D. (2016). Spatial distribution of potassium uptake across the cotton plant affects fiber length. Field Crops Research, 192, 126–133. https://doi.org/10.1016/j.fcr.2016.04.025

Spatial Variation of Soil Moisture and its Effect on Lint Yield in a Deficit Irrigated Cotton Field

Feb 16, 2017

Wen, Y. (2017). Spatial Variation of Soil Moisture and its Effect on Lint Yield in a Deficit Irrigated Cotton Field. https://doi.org/10.1101/109025

Education

Texas A&M University

Master of Science, Statistics, Dept Statistics / August, 2015

College Station, Texas, United States of America

Texas A&M University

Doctor of Philosophy, Dept Soil and Crop Sciences / August, 2011

College Station, Texas, United States of America

TU Dresden

MSc, Hydro Science & Engineering / November, 2006

Dresden

Peking University

BSc, Geography / June, 2004

Beijing

Peking University

BA, E-Business / June, 2004

Beijing

Northeastern University

BEng, Computer Science / June, 2024 (anticipated)

Shenyang

Experience

Syngenta Crop Protection

Statistician / September, 2016March, 2019

Data Manager/ Statistician / October, 2013August, 2016

Campbell Scientific Inc

Regional Sales Manager, Application Engineer / July, 2011October, 2013

Huawei

Lead of Decision Intelligence / Principal Engineer / April, 2019October, 2021

Tencent

Tech Lead (T12) / Applied Research Scientist / November, 2021August, 2023

Join Yujin on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts