Lam Vo
About Lam Vo
Lam Vo is a Data Science Fellow with expertise in natural language processing and content-based recommendation systems. He has a background in biology and biochemistry, and has collaborated on various research projects, including a bibliotherapy recommender system.
Work at SharpestMinds
Lam Vo has been employed as a Data Science Fellow at SharpestMinds since 2019. In this role, he focuses on applying data science techniques to solve complex problems. His work involves implementing advanced algorithms and models to enhance data-driven decision-making processes.
Education and Expertise
Lam Vo is currently studying Biology at the University of Illinois at Urbana-Champaign, where he has been a Graduate Research Assistant since 2017. He previously earned a Bachelor of Science degree in Biochemistry, Biology, and Chemistry from Union College, completing his studies there from 2013 to 2017.
Background and Research Experience
Lam Vo has a diverse research background. He worked as an Undergraduate Student Researcher at Union College from 2014 to 2015, where he gained foundational research skills. In 2015, he served as a Summer Undergraduate Research Fellow at UT Southwestern Medical Center for two months. He also collaborated with a data scientist from Scotiabank on a bibliotherapy recommender system project.
Technical Skills and Projects
Lam Vo has implemented various Natural Language Processing (NLP) feature extraction techniques, including TF-IDF, word2vec, and BERT, particularly for content-based recommendation systems. He developed a bibliotherapy recommender system using data from 50,000 books scraped from Goodreads and deployed it on Google Cloud Platform using Flask, HTML5, CSS3, and Bootstrap.
Achievements and Recognition
In 2019, Lam Vo was recognized as the First Place Winner at the NCSA-NVIDIA AI Hackathon, which took place at the National Center for Supercomputing Applications. This achievement highlights his capability in applying innovative solutions in competitive environments.