Speakers

Keynote Speakers

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Dr. Feryal Ozel

Professor of Astronomy & Astrophysics
University of Arizona, Department of Astronomy

Feryal Ozel is a Professor of Astronomy and Physics at the University of Arizona. Dr. Ozel's primary research interests are the physics of black holes, neutron stars, and theoretical high-energy astrophysics. She is Chair of NASA Astrophysics Advisory Committee, Chair of NASA Lynx Large Mission Concept Study, and the Lead of Event Horizon Telescope Modeling and Analysis Group. She received her PhD in astrophysics from Harvard University and was a Hubble Fellow at the Institute for Advanced Study in Princeton. She was awarded the American Physical Society Maria Goeppert Mayer Prize, was elected to the Science Academy in Turkey in 2013, and was elected a Fellow of the American Physical Society in 2015. She has been awarded a Radcliffe Fellowship, Guggenheim Fellowship, and Visiting Miller Professorship at UC Berkeley. In 2019, she shared the Breakthrough Prize and the National Science Foundation Diamond Achievement Award with the Event Horizon Telescope collaboration for taking the first image of a supermassive black hole. Dr. Ozel serves on numerous national committees and advisory boards in astrophysics and appears in science programs and documentaries worldwide.


Session Abstract

Astrophysical experiments of the current era generate the largest volume and rate of data encountered anywhere in the world. For example, the Event Horizon Telescope, which has taken the first image of a black hole in the nearby galaxy M87, has recorded 5 Petabytes of data over a 5-night observing campaign, while the Large Synoptic Survey is poised to image the entire sky at a high cadence and gather 20 Terabytes per night that needs to be processed in real-time. Different datasets pose different types of challenges, ranging from identifying weak signals to making robust statistical models. I will describe various problem-specific hardware and algorithmic solutions developed in the astrophysics community for these use cases and show that one approach does not fit all.

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Jenny Bryan

Software Engineer & Data Scientist
RStudio

Jenny Bryan is a Software Engineer and Data Scientist at RStudio and an Adjunct Professor of Statistics at the University of British Columbia with a Ph.D. in Biostatistics from the University of California, Berkeley. She works on a team that develops open source R packages to make data science faster, easier and more fun.

Session Abstract

Coming soon.

Platforms & Process: Tools, Data, Infrastructure

Jordan Hagan

Jordan Hagan

Senior Data Scientist
Miner & Kasch

Jordan Hagan is a Senior Data Scientist with Miner & Kasch. She started her career in 2010 as a government subcontractor working with the OIG/DOJ providing analytic insights to support Medicare Part D fraud, waste, and abuse cases. With expansive healthcare domain knowledge, Jordan has worked closely with hospitals across the United States to build data-driven systems to improve patient outcomes, parse surgeons’ notes, and streamline provider workflows to ensure the highest quality of care. Recently expanding beyond healthcare, she has built workflows to help companies identify customers for personalized retention and marketing efforts powered by recommendation engines and prediction algorithms. Residing in Denver, Colorado, Jordan spends her free time exploring the mountains and sampling great beer.

Session Abstract

This talk is targeted at the many Data Analysts, Data Scientists, and Software Engineers that prefer to write as little SQL as possible and perform analysis and data manipulation in memory. SQL and databases can do a lot of heavy lifting, speeding up data pipelines. Pulling large volumes of data into memory can hinder workflows if the SQL and programming language of choice are not optimized properly. Knowing SQL best practices and what languages to use when will ease your data manipulation and extraction processes.

Advanced & Applied Methods: Machine Learning, Deep Learning, AI, Statistical

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Julia Silge

Data Scientist
Stack Overflow

Julia Silge is a data scientist at Stack Overflow and the author of Text Mining with R. She is both an international keynote speaker and a real-world practitioner focusing on data analysis and machine learning practice. She loves making beautiful charts and communicating about technical topics with diverse audiences.

Session Abstract

Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. In this talk, learn how to manipulate, summarize, and visualize the characteristics of text using these methods and R packages from the tidy tool ecosystem. These tools are highly effective for many analytical questions and allow analysts to integrate natural language processing into effective workflows already in wide use. Explore how to implement approaches such as measuring tf-idf, topic modeling, and building classification models.

Driving Value & Uncovering Insight: BI, Data Visualization, Storytelling

Trust & Governance: Ethics, Governance, Policy, Risk

Leadership & Strategy: Leadership, Culture, Talent, Strategy

Industry & Innovation: Use Cases, Emerging Trends

Workshops

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Lea Pica

Founder
LeaPica.com | Analytics Presentation & Data Visualization Consulting

Coming Soon.

Workshop Description

6-Hour Data Storytelling Masterclass

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Ruth Milligan

Founder / Managing Director
Articulation

As an executive speech coach and trainer, Ruth Milligan now lives at the intersection of deep knowledge fields like science and research to medicine and data / analytics married with speakers’ desires to be highly resonating and engaging. This is a culmination her nearly 30 year career practicing some form of communications. Ruth founded Articulation in early 2010 after hosting one of the first TEDx events, TEDxColumbus, which is also now one of the longest running TEDx programs in the world. Since then she and her team have coached over 500 people in TEDx or TED-style talks alongside training thousands in their original classes on content framing, storytelling, public speaking, executive presence and accessing science. Her processional passion is to help organizations of all sizes create storytelling cultures that elevate the opportunities for associates and executives to practice and deliver great presentations. She believes that a great talk can come from a nervous, reluctant or beginning speaker, given the right feedback and development environment. After ten years of curating, organizing and hosting TEDx events, she is also a seasoned host, emcee and consultant to a wide range of events from major donor events at universities to pitch events inside data and analytics teams. Ruth has been the official speaker coach for the Women in Analytics presenters since 2017 and helped to host the main stage presenters in 2018. She lives in Columbus with her husband and two teenage children.

Workshop Description

While data increases it’s influence in making business decisions and driving strategies, sharing insights requires the understanding of story to make the data come to life. Story means the way in which we reveal the problem, the solution and the ultimate impact that data will inform. This class will focus on how to take a basic data set and turn it into a compelling story that will resonate with your business partners. Bring a data set you are working on to apply during class.

Note: This class will not address data visualization.

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Sandy Steiger

Director of the Center for Analytics and Data Science
Miami University

As Director of the Center for Analytics and Data Science, Sandy Steiger is responsible for providing co-curricular experiences that allow students to embrace the application of analytics and data science. Prior to joining Miami University, Steiger spent 15 years at 84.51° and dunnhumbyUSA. Her most recent role was Vice President, Data Science & Analytics, where she was responsible for developing a strategic roadmap that would bring transformational, innovative thinking to 84.51°, focused on driving data science at scale across the Enterprise. Steiger holds a Master of Science in Statistics from Miami University, Ohio, and a Bachelor of Arts in Mathematics and Business from Mount St. Joseph University.

Workshop Description

While data increases it’s influence in making business decisions and driving strategies, sharing insights requires the understanding of story to make the data come to life. Story means the way in which we reveal the problem, the solution and the ultimate impact that data will inform. This class will focus on how to take a basic data set and turn it into a compelling story that will resonate with your business partners. Bring a data set you are working on to apply during class.

Note: This class will not address data visualization.

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Ezgi Karaesmen

PhD Student
The Ohio State University

Ezgi Karaesmen is a PhD candidate at the Ohio State University College of Pharmacy. She is a genomic data scientist with cancer biology background. Currently, she works with large genomic and clinical datasets in the context of bone marrow transplants. Broadly, she is interested in associations of germline genetic variants with survival events of leukemia patients following their transplant.

Workshop Description

Coming Soon.

Women in Analytics Speaker

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