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Southern California Data Science Conference 2017

Oct. 22, Los Angeles



SoCal Data Science Conference is a data science learning platform to connect data science enthusiasts. We will demonstrate cutting-edge technology and feature a variety of data science experts covering topics including industry trend, data science application, open-source software, machine learning and many others.
This is the must-attend event for anyone that is already in the field or just looking to expand their career network in the Data Science arena.


A key highlight of the event will be presented by thought leaders in the data science industry. They will reveal the latest trends as well as insights on the future of data scientists.


We provide a diverse selection of trending topics through multiple tracks, including Artificial Intelligence, Big Data, Fintech, Healthcare, Startup, Data Analytics, etc.


Our workshops are designed for data enthusiasts to jumpstart their career by building a solid foundation in Python, machine learning, AI tool sets, etc. *Additional fee is required.

Session Speakers

Aaron Williams
VP of Global Community at MapD
Ajay Gopal
Chief Data Scientist at SelfScore Inc
Alexandra Damsker
CEO at Stealth Fintech
Andrew Zhang
Cloud Analytics Architect at IBM
Annie Flippo
Manager of Analytics at Thinknear by Telenav
Anton Polishko
CTO at Zulloo Inc
Athanassios Kintsakis
Machine Learning Engineer at Capital One Financial
Ben Johnson
CTO at Obsidian Security
Ben Sharma
CEO & Co-Founder at Zaloni
Brian Dolan
Chief Scientist, Co-Founder at Deep 6 AI
Dani Traphagen
Solution Architect at GridGain Systems
Daniel Dandurand
Data Engineer at Compliance.ai
Dave Nielsen
Technical Program Manager at Intel
Debajyoti (Deb) Ray
CTO at EndCue
Demetri Terzopoulos
Farshad Kheiri
Lead Data Scientist at BCG Digital Ventures
Frank Bell
Principal at IT Strategists
Frank Song
Sr. Director, Healthcare Informatics at Human Longevity, Inc.
Glenn Walker
Head of Digital & Data Analytics at The Wrap News
Griselda Vargas
Health Care Analytics at Anthem
Haiqing Chen
Senior Technical Expert at Alibaba
Hooi Nee Goh
Lead Data Architect at Kaiser Permanente
Hunter Owens
Data Scientist at City of Los Angeles
Ian Parrish
Data Science Manager from Tala
Jennifer Prendki
VP of Machine Learning at Figure Eight
John Keatley
CEO, Co-Founder at Scratch Financial
Data Programs Manager at Business Experience Unit, Los Angeles Office of Finance
Ken Lian
Founder & CEO of Moolah Science
Kyle Polich
Host at Data Skeptic
Lingyun Gu
Founder & CEO at IceKredit
Martin Chen
Research Data Scientist at Shape Security
Matt Vail
COO at Local Roots Farms
Matthew Theisen
Software Engineer at Leaf Group
Michael Alvarez
Professor at California Institute of Technology
Mike Oren
Independent Consultant
Mike Yung
Data Scientist at PlutoTV
Moustafa Alzantot
PhD Candidate in the Networked and Embedded Systems Laboratory (NESL) at UCLA
Neal Fultz
Principal Data Scientist@njnm Consulting
Parth Patel
Big Data Solutions Engineer at Zaloni
Patrick Atwater
Founder and Water Project Manager at Advanced Research in Government Operations
Peter Fennell
Postdoctoral Research Fellow at USC Information Sciences Institute
Peter Voss
Founder & CEO at AGI Innovations Inc.
Phillip Kim
Data Scientist at Banking & Quantitative Solutions
Pramit Choudhary
Lead DataScientist at DataScience.com
Rayaan Arif
Founder of FundingTree.com
Raymond Fu
Big Data Architect for Trace3
Rumman Chowdhury
Senior Manager at Accenture AI
Samuel Berger
CIO at CLEAR Information, Inc.
Shiv Muddada
Engineering Manager of HackerRank
Former CEO at Miramax Films
Xavier Kochhar
Founder and CEO, The Video Genome Project (Hulu)
Xiaowei Ding
CEO at VoxelCloud
Yutao He
Senior Researcher Technologist@Jet Propulsion Laboratory
Zhiyao Pei
Business Analytics Manager at Payoff

Session Tracks

Attendees have access to a broad range of session talks. Here are some insightful topics covered in this year event:

Artificial Intelligence

  • Artificial Intelligence: Hype, Reality, Vision.
  • Battling Skynet: The Role of Humanity in Artificial Intelligence
  • Deep Learning for Ad Mix Optimization
  • Generating Creative Works with AI
  • Introduction to Deep Reinforcement Learning


  • Big Data Credit Assessment
  • Data Analytics Drives FinTech
  • How data science is transforming wealth management
  • Blockchain Application in Real Estate Transactions


  • Pioneering the World’s First Public Data Utility
  • “Full Stack” Data Science with R for Startups: Production-ready with Open-Source Tools

Big Data

  • Deep Learning in Spark with BigDL
  • MCL Clustering of Sparse Graphs
  • Distributed Database DevOps Dilemmas? Kubernetes To the Rescue!
  • Data Science at City Scale
  • Operationalizing Your Data Lake: Get Ready for Advanced Analytics


  • Using AI to Tackle the Future of Health Care Data
  • Potential Solutions from Precision Medicine for the Crisis of Chronic Disease
  • Machine Learning in Healthcare and Life Science

Data Analytics

  • Machine Learning & Data Science in the Age of the GPU: Smarter, Faster, Better
  • Uncovering Feature Importance and Correlations in Human Behavioural Data

Sponsors & Partners

Contact us to review the full benefits and details of the partnership package.

Our Previous Sponsors



October 22, 2017 (Sun) 8:00 am – 5:00 pm

Pasadena Convention Center


Submit Volunteer Application Form here.

We’re looking for volunteers to help us set up the conference and to keep things running smoothly on the day of the conference. In exchange for your time and effort, you will receive free admission to the conference and many other benefits!

Through this experience, you will have the opportunity to network and build connections with many professional industry leaders. This position is extremely valuable for anyone interested in the data science field. 

Training Sessions

(Time: Oct. 21, 2017 | Location: University of Southern California)

Machine Learning

Duration: 4h

Price: $200

Business Analytics Corporate Bootcamp

Duration: 4h

Price: $200

About Us

DSA is now IDEAS

We’ve changed our name but our mission remains.

As our world moves toward an increasingly data-driven reality, we believe it is critical that we service this data ecosystem as a whole. In the field, data science and data engineering go hand-in-hand. Data engineering lays the foundational infrastructure for data science while data science generates innovation that makes the whole thing worthwhile. To better reflect this, we will be changing our name from Data Science Association (DSA) to International Data Engineering and Science Association or IDEAS for short.


We build a data science hub to connect real-world knowledge and provide robust resources for business leaders, academic professionals, and promising students. Our vision to foster the data science ecosystem and broaden the adoption of the technology. We empower and accelerate the growth of the community by offering online resources, conferences, latest industry trend and data science job opportunities.