March 30th – April 1st, 2021

AI for Cybersecurity

Learn the essentials to become a skilled expert in Machine Learning for Cybersecurity
Register now

Leverage Your Programming Skills

Become a

Machine Learning Specialist in Cybersecurity

With the rapid growth of Artificial intelligence comes rising demand for Machine Learning specialists in Cybersecurity. To analyze massive amounts of data to detect and protect against the latest malware, ransom, trojan horses and other threats requires serious engineering. These projects of the future promise to be some of the most exciting and in demand jobs in software engineering today.


An ML specialist in Cybersecurity helps organizations evolve and transform their cybersecurity attitudes through intelligent code analysis, configuration analysis, and activity monitoring. At ODSC, build on your programming skills to implement cybersecurity solutions to protect organizations from existing cyber threats and identify new types of malware. You will learn from leading experts everything from data mining and organization to essential use of AI neural networks and automatic learning model recognition.

Some Current AI for Cybersecurity Speakers

CEO, Security & Forensics Analyst, Incident Responder | Senior InstructorOne eSecurity | SANS Institute

Jess Garcia

Bio Coming Soon!

Session on Cybersecurity Coming Soon!

Principal, National Cyber Security LeaderGrant Thornton LLP

Peter Morin

Peter is a senior cyber security professional with over 25 years of experience focusing on cybersecurity program strategy, ICS security, network security architecture, threat hunting, red-teaming, cloud security, incident response and computer forensics. Peter has held senior positions with a number of organizations, including a global cybersecurity consulting firm, national telecommunications and media company, Fortune 500 cloud-computing company, a recognized cyber security software company and a major US defence contractor. Peter holds a number of industry designations including the CISSP, CISA, CRISC, CGEIT as well as a number of SANS GIAC certifications. He has been a frequent presenter at numerous events held by the FBI, US Department of Homeland Security, Conference Board of Canada, FIRST, BSides, SecTor, SANS, Blackhat, American Public Power Association, Public Safety Canada, IIA and ISACA. Peter is also a frequent guest lecturer at numerous colleges and universities throughout North America and has been featured in numerous publications including SC Magazine, USA Today, and the National Post. Peter serves on the board of directors for the ISACA Atlantic Provinces Chapter and was the recipient of the 2020 ISACA Global Outstanding Leader Award.

Senior Machine Learning Biomedical EngineerMicrosoft CSE

Tempest Van Schaik, PhD

Tempest is passionate about improving lives using sensors, data, and AI. Some of the ways she’s driven impact have been through her startup, SoilCards, which aims to make mobile soil testing accessible to the world’s poorest farmers in order to improve their livelihood and protect the environment. She has also developed novel ways to measure cognitive function and mood in people with depression using wearables. She has used data science to improve physiotherapy for children with cystic fibrosis, and has put principles of responsible AI into practice to build predictive ICU models which treat different patient groups fairly. She is currently a Senior Machine Learning Engineer in Microsoft’s Commercial Software Engineering (CSE) team, where she is an ML Lead for collaborations with some of Microsoft’s biggest healthcare customers. She is a member of CSE’s Responsible AI board and a CSE ambassador for Diversity & Inclusion, because she believes in promoting positive change as a leader in the industry. She has a PhD in Bioengineering from Imperial College London, with an internship at MIT, and an Imperial College Rector’s Award. She is a Technical Advisory Board member of Ultromics Ltd as well as a TEDx and SXSW speaker. Her research has received awards from Innovate UK and the US National Academies of Science Engineering and Medic.

Responsible AI; From Principles to Practice(Talk)

Founder and CEO / Senior InstructorDragos, Inc. / SANS Institute

Rob Lee

Robert M. Lee is the CEO and co-founder of the ICS cybersecurity technology and services firm Dragos. He gained his start in the U.S. Air Force as a Cyber Warfare Operations Officer where he spent most of his career at the National Security Agency where he built and led a first-of-its-kind mission hunting and analyzing state actors targeting ICS. He is also a Senior Instructor at the SANS Institute where he authored the Forensics 578 course on Cyber Threat Intelligence and the ICS 515 course on ICS network monitoring and incident response. He may be found on Twitter @RobertMLee

Co-founder | Adjunct Professor | Apache Drill Project Management Committee ChairStealth Startup, GTK Cyber | University of Maryland

Charles Givre

Charles Givre recently joined JP Morgan Chase works as a data scientist and technical product manager in the cybersecurity and technology controls group. Prior to joining JP Morgan, Mr. Givre worked as a lead data scientist for Deutsche Bank. Mr. Givre worked as a Senior Lead Data Scientist for Booz Allen Hamilton for seven years where he worked in the intersection of cyber security and data science. At Booz Allen, Mr. Givre worked on one of Booz Allen’s largest analytic programs where he led data science efforts and worked to expand the role of data science in the program. Mr. Givre is passionate about teaching others data science and analytic skills and has taught data science classes all over the world at conferences, universities and for clients. Mr. Givre taught data science classes at BlackHat, the O’Reilly Security Conference, the Center for Research in Applied Cryptography and Cyber Security at Bar Ilan University. He is a sought-after speaker and has delivered presentations at major industry conferences such as Strata-Hadoop World, Open Data Science Conference and others. One of Mr. Givre’s research interests is increasing the productivity of data science and analytic teams, and towards that end, he has been working extensively to promote the use of Apache Drill in security applications and is a committer and PMC Member for the Drill project. Mr. Givre teaches online classes for O’Reilly about Drill and Security Data Science and is a coauthor for the O’Reilly book Learning Apache Drill. Prior to joining Booz Allen, Mr. Givre, worked as a counterterrorism analyst at the Central Intelligence Agency for five years. Mr. Givre holds a Masters Degree in Middle Eastern Studies from Brandeis University, as well as a Bachelors of Science in Computer Science and a Bachelor’s of Music both from the University of Arizona. Mr. Givre blogs at thedataist.com and tweets @cgivre.

Senior SANS InstructorSANS Institute

Christopher Crowley

Christopher Crowley has 20 years of experience managing and securing networks, beginning with his first job as an Ultrix and VMS systems administrator at 15 years old. Today, Crowley is a Senior Instructor at the SANS Institute and the course author for SOC-Class.com: the culmination of his thoughts on effective cybersecurity operations.
He works with a variety of organizations across industries providing cybersecurity technical analysis, developing and publishing research, sharing expert security insights at conferences, and chairing security operations events. He has provided training to
thousands of students globally.
Crowley holds a multitude of cybersecurity industry certifications and provides independent consulting services specializing in effective computer network defense via Montance®, LLC, based in Washington, DC.

Strategy Engineer | PMC Apache Airflow ProjectAstronomer.io

Daniel Imberman

Daniel Imberman is a PMC of the Apache Airflow project, core contributor of the KubernetesExecutor, and Strategy Engineer at Astronomer.io. He recieved a BS/MS at UC Santa Barbara with a focus in Distributed Systems and Machine Learning and is highly passionate about building the next generation of ML tooling.

Session on MLOps and Airflow Coming Soon!

 

Chairman, CEO and Co-founderFarsight Security

Paul Vixie

Dr. Paul Vixie is an Internet pioneer. Currently, he is the Chairman, Chief Executive Officer and Cofounder of Farsight Security, Inc. He was inducted into the Internet Hall of Fame in 2014 for work related to DNS and DNSSEC. Dr. Vixie is a prolific author of open-source Internet software including BIND, and of many Internet standards documents concerning DNS and DNSSEC. In addition, he founded the first anti-spam company (MAPS, 1996), the first non-profit Internet infrastructure software company (ISC, 1994), and the first neutral and commercial Internet exchange (PAIX, 1991). He earned his Ph.D. from Keio University.

Chief Innovation OfficerUniversity of California

Neil Sahota

Neil Sahota is an IBM Master Inventor, United Nations (UN) AI Advisor, author of the book Own the A.I. Revolution., and Chief Innovation Officer at UC Irvine. He is a business solution advisor to several large companies and sought-after keynote speaker. Over his 20+ year career, Neil has worked with enterprises on the business strategy to create next generation products/solutions powered by emerging technology as well as helping organizations create the culture, community, and ecosystem needed to achieve success such as the U.N.’s AI for Good initiative. Neil also actively pursues social good and volunteers with nonprofits. He is currently helping the Zero Abuse Project prevent child sexual abuse as well as Planet Home to engage youth culture in sustainability initiatives.

Session on Responsible Ai Coming Soon!

Adjunct Faculty | Network Reliability and Analytics ResearcherNorthwestern University

Veena Mendiratta, PhD

Bio Coming Soon!

Using Change Detection Algorithms for Detecting Anomalous Behavior in Large Systems(Talk)


Click Here For Full Lineup
See all sessions

You Will Meet

  • Some of the world’s leading AI experts

  • Some of the best minds and authors behind today’s most popular AI platforms

  • Artificial Ingelligence and data science innovators

  • Data science & analytics specialists

  • Developers, engineers and programmers looking to build AI enabled software

  • Hundreds of attendees focused on AI engineering

  • CTOs and Chief Data Scientists from startups and Fortune 500 companies

  • Data scientists, data engineers, and AI platform experts

  • Peers from startups to Fortune 500 companies wrestling with large sets of consumer data

  • Representatives from Government agencies, universities, and other large institutions

What You'll Learn

Talks + Workshops + Special Events on these topics:

UpSkill Topics

  • Enhanced Machine Learning for Cybersecurity

  • Building a Holistic Risk Profile: Near Real-Time Approach to Insider Threat Detection

  • Linear Algebra, Calculus, and Probability: The Math ML Experts Master

  • Solving the Data Scientist’s Cold-Start Problem with Machine Learning Examples

  • Atypical Applications of Typical Machine Learning Algorithms

  • Introduction to Scikit-learn: Machine learning in Python

  • Intermediate Machine Learning with Scikit-learn: Cross-validation, Parameter Tuning, Pandas Interoperability, and Missing Values

  • Intermediate Machine Learning with Scikit-learn: Evaluation, Calibration, and Inspection

  • Advanced Machine Learning with Scikit-learn: Text Data, Imbalanced Data, and Poisson Regression

  • and more…

Languages & Frameworks

  • Tensorflow 2, PyTorch, Keras, Caffe 2.0, CNTK

  • Python scikit-learn, SciPy, Pandas, PyMC3,

  • R Programming, Keras, CARET

  • spaCy, AllenNLP, Stanford NLP

  • Spark, MLlib, Storm, Hadoop, Mahout

  • Kubernetes, Kafka, Zeppelin, Ignite

  • Apache Airflow, KubFlow, MLFlow

  • NLP Transformers, BERT, ULMFit, ElMo

  • Julia, Java, Jupyter Notebooks, NoSql, Neo4J

Why Attend?

Immerse yourself in talks and workshops on AI Engineering frameworks, topics, and languages

Learn about AI Engineering from leading AI experts who authored and built many of the platforms in use today

Network and connect with like-minded attendees to discover your next job, service, product or startup

Get speaker insights and training in AI frameworks such as TensorFlow, MXNet, PyTorch, Spark, Storm, Drill, Keras, and other AI platforms

ODSC EAST | March 30th – April 1st, 2021

Register Now
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Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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