Yuhang Liu

Yuhang Liu has extensive work experience in the field of data science and analysis. Yuhang is currently working as a Senior Data Scientist at Leveragen since February 2023. Prior to this, they worked at Natera as a Senior Data Scientist from March 2021 to January 2023. In this role, they were responsible for automating end-to-end pipelines with high-throughput sequencing data, estimating redraw success rate, obtaining reliable gene sets for patient identification, and developing a monitoring procedure for risk likelihood of 22q syndrome. Yuhang also has experience as a Model/Analysis/Validation Senior Analyst at Citi from October 2018 to March 2021. Yuhang worked as a Statistician at Sage Therapeutics in 2017 and as a Research Assistant at Florida State University from 2016 to 2017. Yuhang also gained experience as a Consultant Internship at Elite Research, LLC in 2013 and as a Children Health and Development Project Leader at Huayi Social Work Center from 2008 to 2010.

Yuhang Liu has a strong educational background in statistics. Yuhang obtained their Bachelor's degree in Statistics from the University of Science and Technology of China, where they studied from 2007 to 2011. Following that, they pursued a Master of Science degree in Statistics from Southern Methodist University, where they studied from 2011 to 2013.

Continuing their academic journey, Yuhang Liu attended Florida State University from 2014 to 2018, where they earned their Doctor of Philosophy (Ph.D.) degree in Statistics. During their time at Florida State University, they specialized in the field of Statistics, further developing their expertise in the subject.

Additionally, Yuhang Liu has acquired various certifications to enhance their knowledge and skills. Yuhang completed a SAS certification program, becoming a SAS Certified Base Programmer for SAS 9 in December 2012, a SAS Certified Advanced Programmer for SAS 9 in March 2013, and a SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential in February 2014.

Moreover, Yuhang Liu has pursued further education through online platforms. Yuhang completed several courses on Coursera, including "Structuring Machine Learning Projects," "Neural Networks and Deep Learning," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Convolutional Neural Networks," "Sequence Models," "Natural Language Processing with Classification and Vector Spaces," "Natural Language Processing with Probabilistic Models," and "Natural Language Processing with Sequence Models" between 2019 and 2020.

This educational background, ranging from their high school education at Guangdong Experimental High School to their Ph.D. in Statistics, along with their additional certifications and online courses, showcases Yuhang Liu's strong commitment to advancing their knowledge and expertise in statistical analysis and related fields.