Data Science Association Hosted SoCal Data Science Conference 2016 at USC

On September 25th - The Data Science Association hosted SoCal Data Science Conference 2016 in Trojan Grand Ball Room.

Socal Data Science Conference

​​​​​​The event showcased the value, social impact and contribution to technological advancements of data science in academic research, industrial implementation and policies making.

“Data science is never a standalone discipline,” said Jason Geng, Data Science Assocication’s board president and CEO of Data Application Lab. “Only by collaborating and applying it to real world problems, can it make full use of its power.”

Data science is never a standalone discipline, only by collaborating and applying it to real world problems, can it make full use of its power.

Jason Geng, Data Science Assocication's board president and CEO of Data Application Lab

Speakers from companies, schools, and city of Los Angeles gave over 20 talks in five sessions, covering machine learning, distributed data storage, data security and data visualization. The implementation of big data and data science in marketing & advertising, education and finance were intensively discussed. 

This conference also provided a great opportunity for students in school to connect with leading data scientist and data engineer, and get better understanding of the technology evolution and requirement from job market.  

About Data Science Associations

Our mission is to create a data science learning forum where we will bring together business and academic leaders, professionals, promising students and entrepreneurs. Our conference will demonstrate cutting edge technology, offer unique insight into real-world applications with machine learning and data science, and provide attendees a platform to expand their career networks. ​

Sponsors and Partners​

  • Data Application Lab
  • LEAP
  • Cross Campus
  • Videoamp
  • ​LA Cloud Computing
  • Techtinx
  • ​Plusyoou
  • USC Marshall
  • Marshall Data Analytics Club
  • HopHR
  • ​Applied Statistics Club

Speakers & Topic

Derek Wang (Founder and CEO at Stratifyd)

  • In Pursuit of Augmented Intelligence

Tamara Dull (Director of Emerging Technologies)

  • Privacy vs. Security in a Big Data World

Raymond Fu (Practice Architect at Trace3)

  • Building Enterprise Advanced Analytics Platform

Haoyuan Li (CEO at Alluxio)

  • An Open Source Memory Speed Virtual Distributed Storage 

Yves Bergquist (Project Director of Entertainment Technology Center at USC)

  • Data Science and Entertainment Industry

Juan Sebastian Vasquez (Data Analyst at Mayor’s Operations Innovation Team at City of Los Angeles)

  • Battling Bureaucracy: Keep Your Data Project Moving​

Kyle Polich (Principal Data Scientist at DataScience, Inc.)

  • Common Errors in Machine Learning

Dinesh Srirangpatna (Big Data Solution Architect at Microsoft)

  • Big Data and IoT in the 4th Industrial Revolution

Debajyoti Ray (Chief Data Officer at VideoAmp)

  • Large-scale consumer graph analytics for cross-screen advertising with Spark

Dusan Bosnjakovic (Data Scientist at Intuit)

  • Link Analysis in Fraud Detection

Oren Golan (VP Software Engineering at Sanguine)

  • Evolving Graphs while Evolving Pokemon

Austin Clements (Associate at TenOneTen Ventures)

  • Raising Venture Capital for your Data Driven Startup

Benjamin Uminsky (Executive Assistant / Data Science at Los Angeles County Registrar-Recorder)

  • Min(d)ing the Voter File

Nimbus Goehausen (Senior Software Engineer at Bloomberg LP)

  • Spark: Tips & Tricks

Wenjing Zhang (Director of Business Analytics at LinkedIn)

  • Advance analytics career from novice to sophisticated​

Neal Fultz (Principal Data Scientist at Openmail)

  • Going Bayesian in Ad Tech - Two Case Studies 

Peyman Mohajerian (Solution Architect at Databricks)

  • Applying Apache Spark to Data Science Challenges in Media & Entertainment Industry

Rohan Monga (Sr. Machine Learning Engineer / Data Scientist at Whisper App)

  • Personalization at Whisper

John Chao (Manager of Business Analytics and Data Scientist at LinkedIn)

  • Elevate the Sales Process: B2B sales intelligence with LinkedIn Social Selling Data

William Wang (Assistant Professor at UC Santa Barbara)

  • Scalable Learning and Reasoning for Large Knowledge

Kenan Li (Data Scientist at Data Application Lab)

  • GIS application with data science

Min Zhang (CFA, CEO, Totum Wealth)

  • Data science applications in FinTech

Emily Thompson (Product Manager at Insight Data Science)

  • Academia to Industry: Transitioning to a career in Data Science

Source: Data Science Association

About Data Application Lab

Data Application Lab is the high-caliber consulting and training company in Southern California with unique expertise in Big Data and enterprise data application solutions. We offer unique training program for big data engineer and data scientist.

Data Application Lab
925 S Atlantic Blvd, Suite 203B, ,CA,
Monterey Park, California