Sophie Lellis-Petrie

---

Data Scientist

Warner Bros. Entertainment

Combines descriptive and inferential statistics in order to have a holistic understanding of the data in order to fit the best models to the data. Has a Bachelor of Science in Statistics from the University of California, Los Angeles and pursuing Masters of Applied Statistics with strong foundation in statistics applied knowledge in capstone courses in multiple disciplines. Continues to grow statistics portfolio in the Work Force Analytics group in Warner Brothers.

Joe Gardner

---

CEO

VentureDevs

Joe is a multi-time entrepreneur with eight years of experience founding, funding, growing, and selling technology companies. Joe’s experience as an investor, successful founder, and business operator has led him to create a prolific network of entrepreneurs, investors, and operators in the SoCal, Silicon Valley, and Northeast ecosystems. He is currently the CEO of VentureDevs and managing partner at Advantage Ventures.

Patrick Prothro

---

Data Scientist

Latham & Watkins

There is an interesting story behind all data. Whether it be sports, education, etc. I'm always looking to find the meaning behind the numbers. Analyze, visualize, and explain what is going on behind the scenes. It's always been a passion of mine to find the unique answers to a puzzle with multiple solutions. Using data I've been able to find those unique answers that many may have overlooked in order to improve business efficiency.

My specialties include using a broad spectrum of software programs , advanced statistics, and an acumen for problem solving to find the answers buried in a company's data. I am currently an analyst at an E-Commerce Company and plan to enter the field of Machine Learning and Data Science.

Jingyi Jessica Li

---

Assistant Professor

University of California

Jingyi Jessica Li is an Assistant Professor in the Department of Statistics and the Department of Human Genetics at University of California, Los Angeles (UCLA). She is also a faculty member in the Interdepartmental Ph.D. Program in Bioinformatics and a member in the Jonsson Comprehensive Cancer Center (JCCC) Gene Regulation Research Program Area. Prior to joining UCLA in 2013, Jessica obtained her Ph.D. degree from the Interdepartmental Group in Biostatistics at University of California, Berkeley. Jessica received her B.S. (summa cum laude) from the Department of Biological Sciences and Technology at Tsinghua University, China in 2007. Jessica and her students focus on developing statistical and computational methods motivated by important questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, her research interests include association measures, high-dimensional variable selection, and classification metrics. On the biomedical application side, her research interests include next-generation RNA sequencing, comparative genomics, and information flow in the central dogma. Jessica is the recipient of the Hellman Fellowship (2015), the PhRMA Foundation Research Starter Grant in Informatics (2017), the Alfred P. Sloan Research Fellowship (2018), and the Johnson & Johnson WiSTEM2D Math Scholar Award (2018).