Networking for experts: Linh Ho Manh, PhD

Linh is extremely passionate about utilizing his skills in mathematics to find cures to diseases with no known cures and optimizing/repurposing FDA approved drugs.

Linh is an expert at developing and applying machine learning techniques in cheminformatics pipelines for drug discovery, specifically working with Ultraviolet-visible spectroscopy (VUV) and mass spectrometry chemical property datasets.
• Knowledgeable in interpreting machine learning models by web-based applications using FLASK platform.

Industry Experience:
Currently a Data Analyst joint between The University of Texas at Arlington and VUV Analytics, Inc. in Cedar Park, TX.
• In this position, Linh is developing apps for governmental agencies such as the United States Department of Agriculture (USDA), VUV Analytics, and UTA-Department of Education.

Academic background:
Linh is en route to completing his second Ph.D. and is the first author of 19 publications.
(Not to mention, he has first-author publications in 3 different languages! Google Scholar link : https://lnkd.in/ddP4iiFy)
• Expected to graduate in Spring 2023 with a Ph.D. in Data Science and Machine Learning from the Department of Industrial Engineering at The University of Texas at Arlington
• Completed his first Ph.D. in Electromagnetics from Politecnico di Milano, Italy in 3 years (2011-2014).

Primary skills
• Tools and Languages:
Python, Javascript, MATLAB, R, RDKit
• Quantitative Research:
R programming, Statistics, Mathematical optimization (CPLEX), Mathematical Modeling, Oracle MySQL
• Communication:
English, Italian, Vietnamese
• Machine learning:
Sklearn, TensorFlow, PyTorch

I have attached Linh’s image and CV to this post.

Anyone seeking to hire a data expert/scientist/engineer for drug discovery chemical screening pipelines should consider Linh Ho Manh.

Please reach out to Linh or TapBioscience so that we can arrange an interview!

For anyone that reads this - we would be grateful if you'd like, share, and/or comment on this post in order to help both, employers and Linh, find a perfect fit!

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