Comcast

VP, Solutions Development

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Ami Ehlenberger is the Vice President of Solutions Development at Comcast, focusing her time on using data science, machine learning and analytics to inform decisions around Enterprise Strategy. Prior to joining Comcast Ami was a member of the Cloud & Cognitive executive team at the IBM Corporation, developing intelligent solutions using Watson in the industries of Healthcare, Legal, Insurance and FSS. Her career has been focused around emerging technologies, solution incubation, and driving adoption of these ideas into an everyday practice.

Microsoft

Technical Architect (AI/ML)

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Bart Czernicki is a technologist and author who is passionate about AI, Machine Learning, and the cloud. Bart is currently is employed at Microsoft as a Technical Architect on the One Commercial Partner - Data & AI team. There he engages selected partners, helping them accelerate their artificial intelligence journey to the Microsoft AI platform. Furthermore, Bart is an AI & ML subject matter expert at Microsoft, leading multiple internal AI & ML enterprise and readiness initiatives. He has authored two books on business intelligence and is currently working on a third, "Uncovering Sports Insights with Statistics & Advanced Analytics." Before joining Microsoft, Bart was responsible for the technology of two large data & analytics organizations for over a decade.

Bart is originally from Poland, but currently lives in Medford (NJ) and is married with two kids and three dogs.

Orai

Co-Founder + CEO

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Danish Dhamani is co-founder and CEO of Orai, an artificial intelligence speech coach that helps professionals become more effective and confident communicators (featured in FastCompany, Techcrunch and Wired).

Orai is one of the 10 companies in the Comcast NBCUniversal LIFT Labs Accelerator powered by Techstars. Danish believes that improving a team's communication skills has the potential to unleash their hidden innovation and retain talent.

When he isn't glued to a computer screen, he spends time cycling, playing squash, and trying very hard not to lose focus while meditating. You can reach him at danish@oraiapp.com or on Twitter at @DanishDhamani.

Comcast

Sr. Director of Product Management

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Dominique is a Senior Director of Product Management in the Technology/Product/Experience division of Comcast, focused on using artificial intelligence to enhance Xfinity products.

Dominique is concentrating on the advancement of content discovery across our products and how to create more custom viewing experiences. Since mid-2016, Dominique has been a thought leader in the organization, helping to develop and mobilize the company's AI strategy and she has recently joined the Applied AI Product Team full-time.

Previously, Dominique was a director of strategy and planning in the Strategic Development division, focusing on overall portfolio management of new growth businesses and initial operationalization of those initiatives. Dominique joined Comcast in 2011 as part of the X1 team responsible for business operations for new Xfinity TV products. She started her career with General Electric in 2004 as a member of their prestigious Information Management Leadership Development program and spent her time at GE in various roles including application development, management, and supplier management in both the US and Ireland.

Dominique holds a Masters of Business Administration from The Wharton School of the University of Pennsylvania and a Bachelor of Science in Information Sciences and Technology from Pennsylvania State University. She currently resides in Philadelphia with her husband, Matt, and two children, Bryce and Ashley.

Comcast

SVP, Devices & Advanced AI Systems

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Fraser leads the team that develops Comcast's hardware and consumer devices, with the mission of improving new product service velocity, product differentiation and cost management. He also leads the company-wide effort to move to all IP, allowing customers to stream video over WiFi in their homes. He is a domain expert in high volume device deployment and manufacturing.

Since joining Comcast in 2014, Fraser has planned and led the effort to transform the company's device industrial design standards, focused on the product. He has been integral to reimagining the design of Comcast devices, helping the consumer see the product as more than just another piece of technology in the home. Under Fraser's leadership, Comcast was recently recognized with three prestigious Red Dot Awards in the area of industrial design as well as multiple IDSA awards. He and his team launched the first voice-controlled remote control device, improving functionality and providing new accessibility capability, and they also revamped the device product portfolio, delivering superior devices while driving quality up and costs down.

Previously, Fraser led the OnCue hardware and software engineering team at Intel Media. Prior to that, he served as Director of Product at Sky UK.

He studied Music Technology with Electronics at Glasgow Caledonian University.

Periscope Data

Co-Founder + CEO

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Harry Glaser is the co-founder and CEO of Periscope Data, an end-to-end analytics platform enabling powerful data team collaboration for over 1,000 customers globally, including New Relic, Adobe, Ernst & Young, Flexport and more.

Periscope Data was rated the best small company to work for in 2017 by Business Insider, and awarded "Best Places to Work" from the SF Business Times. Harry was recently named one of San Francisco's top ranked CEOs by Comparably and featured in Inc. amongst the Best CEOs for women.

He is an active member of Founders for Change and Project Include. Prior to founding Periscope Data in 2012, Glaser was a Product Lead at Google AdWords and graduated from the University of Rochester with a bachelor's degree in computer science.

NYU Tandon School of Engineering

Research Professor of Financial Machine Learning

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Igor Halperin's research focuses on using methods of Reinforcement Learning, Information Theory, neuroscience, and physics for financial problems such as portfolio optimization, dynamic risk management, and inference of sequential decision-making processes of financial agents.

Igor has an extensive industrial experience in statistical and financial modeling, in particular in the areas of option pricing, credit portfolio risk modeling, portfolio optimization, and operational risk modeling. Prior to joining NYU Tandon, Igor was an Executive Director of Quantitative Research at JPMorgan and before that he worked as a quantitative researcher at Bloomberg LP. Igor has published numerous articles in finance and physics journals and is a frequent speaker at financial conferences. He has also co-authored the book "Credit Risk Frontiers" published by Bloomberg LP.

Igor has a Ph.D. in theoretical high energy physics from Tel Aviv University, and a M.Sc. in nuclear physics from St. Petersburg State Technical University. He advices several tech and data science start-ups and risk management firms.

IBM

Principal Data Scientist

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Dr. Huseynov has over 20 years of experience as a technology leader, data scientist, product developer, and software engineer working with major companies, including IBM, The Walt Disney Co., Mine Safety Appliances, and Rockwell.

His technical expertise spans the fields of AI, data science, and engineering, including natural language processing, machine learning, signal processing, and distributed computing. Dr. Huseynov authored several articles in reputable scientific publications, holds numerous patents granted in the United States, Canada, and China. He received his Ph.D. in Computer Science from the University of California Irvine in 2008, and Masters degrees in Computer Science (1999) and Engineering Management (1998) from the Rochester Institute of Technology.

Javid also contributes to his community, having previously served as a planning commissioner in the City of Fountain Valley, California (2014-15) and now serving as a Planning Board member in the City of Hackensack, New Jersey.

Comcast

VP, Technology/Product/Experience

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Jeanine Gubler Heck is the Vice President of Artificial Intelligence Product in the Technology/Product/Experience division of Comcast. In this role, Jeanine is leading the company's efforts to bring artificial intelligence into Xfinity products. She was the founding product manager for the X1 voice remote which allows customers to interact with their TV through intuitive voice commands. Additionally, Jeanine's team develops other AI products including computer vision algorithms for Xfinity Home cameras, media analytics for TV, and customer experience interactions via an Xfinity virtual assistant.

Since joining Comcast in 2007, Jeanine has used her entrepreneurial approach in product management to build algorithms that enhance user experiences. Prior to her current role, Jeanine led the launch of a cloud-based TV search engine as well as the company's first TV recommendations engine.

In 2012, Jeanine was the founding leader of Comcast's Women's Network for its inaugural three years. Jeanine spends her time outside of work encouraging young people to pursue careers in technology. She sits on the board at her alma mater, St. Hubert High School for Girls, and she mentors computer science students at Lower Merion High School.

Jeanine received her bachelor's degree in Computer Science & Engineering from the University of Pennsylvania and an MBA from Columbia University. She lives in the Philadelphia area with her husband and four children.

Curalate

Senior Research Engineer

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Lou Kratz is a senior research engineer at Curalate specializing in computer vision and machine learning. His passion is tech-transfer: figuring out how to build cutting edge research from the lab into real-world applications.

Prior to Curalate, he received his PhD from Drexel University where he periodically teaches computer vision and computational photography. His hobbies include photography, cooking, homebrewing, and fatherhood.

Cyber-Crusader Machine Learning

Student

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Mark Delgrande is a junior at Lansdale Catholic High School, Lansdale PA.

Since his freshman year, he has been part of the programming group of the school's FIRST Robotics Competition team the Cyber-Crusaders, FRC 272. During that time he has learned Java, Python, Json, XML, telemetry, sensors, and machine control. Mark has given presentations on his work with LIDAR to other teams to share his knowledge.

Mark hopes to pursue a career in Computer Science. His dream jobs would be with Comcast AI, SpaceX, and JPL.

Senior Data Scientist

Penn Medicine

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Michael builds machine learning systems to improve patient outcomes by providing predictive applications that empower clinicians to identify at risk individuals.

In his spare time, he organizes the DataPhilly Meetup group and despite being terrified of public speaking he presents regularly at community events and conferences.

Drexel Privacy, Security, and Automation Laboratory

Assoc. Prof. Of Computer Science

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Dr. Greenstadt's research centers on the privacy and security properties of multi-agent systems and the economics of electronic privacy and information security.

Her lab - the Privacy, Security, and Automation Laboratory (PSAL) - focuses on designing more trustworthy intelligent systems that act autonomously and with integrity, so that they can be trusted with important data and decisions. The lab takes a highly interdisciplinary approach to this research, incorporating ideas from artificial intelligence, psychology, economics, data privacy, and system security. However, a common thread of this work has been studying information flow, trustworthiness, and control. Recently, much of PSAL's work has focused on using machine learning to better understand textual communication.

Open Data Group

Product Manager

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Rehgan graduated from Ohio State University with a Bachelor's Degree in Industrial and Systems Engineering specializing in Data Analytics. During her time at OSU she launched the Big Data and Analytics Association. Rehgan also founded the Women in Analytics Conference to showcase women doing amazing things in the analytics space. She has focused her career on improving technology supporting operations in machine learning development and deployment.

Comcast

SVP, Technology Environments & Strategy

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Sherita leads strategy, design, build, and support of Comcast engineering laboratory operations and strategic planning supporting technology/product/experience roadmaps for 1600+ technical facilities within Comcast's Next Generation Access Network organization.

She has 35+ years in the telecommunications industry shaping and delivering innovative technologies including the first Comcast Universal Caller ID cross platform application and both remote and Cloud DVR, among others. She is on the national board of WICT and is past National President of the Society of Women Engineers.

ID Analytics

Senior Data Scientist

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Soysal Degirmenci joined ID Analytics in 2016 after he received his PhD in Electrical Engineering at Washington University where he developed novel optimization algorithms, with applications in airport baggage security, medical imaging, and machine learning.

At ID Analytics, Soysal has assisted in the development of the new generation credit risk products and was a major contributor of ID Analytics' first convolutional neural network for credit scoring. He also played an integral role in creating the new generation ID Connect Photo product, that offers a better and safer customer experience during a digital application and enrollment process. Soysal's current interests include interpretability and explainability of ML & AI, using different deep learning models (RNNs and CNNs) for enhanced performance, and generative models. He leads the Deep Learning research team to bring innovative deep learning architectures to credit and fraud risk assessment in an explainable manner.

KPMG LLP

Principal, Data & Analytics

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Traci is a leader in the "Lighthouse," KPMG's Center of Excellence for Data & Analytics. Traci is responsible for the D&A Strategic Transformation and Lighthouse Artificial Intelligence Teams. She is an experienced executive with significant experience in Systems Implementation, Advanced Analytics Execution, Big Data Technologies, Artificial Intelligence and D&A Strategy. She is a proven leader with a long record of success in designing, developing and deploying solutions to address clients' most complex problems.

Penn Engineering

Nemirovsky Family Dean

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Vijay Kumar is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. He received his Bachelors of Technology from the Indian Institute of Technology, Kanpur and his Ph.D. from The Ohio State University in 1987. He has been on the Faculty in the Department of Mechanical Engineering at the University of Pennsylvania since 1987.

Dr. Kumar served as the Deputy Dean for Research in the School of Engineering and Applied Science from 2000-2004. He directed the GRASP Laboratory, a multidisciplinary robotics and perception laboratory, from 1998-2004. He was the Chairman of the Department of Mechanical Engineering and Applied Mechanics from 2005-2008. He then served as the Deputy Dean for Education in the School of Engineering and Applied Science from 2008-2012. He has served as the assistant director of robotics and cyber physical systems at the White House Office of Science and Technology Policy (2012 – 2013).

Dr. Kumar is a Fellow of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, ASME Journal of Mechanical Design, the ASME Journal of Mechanisms and Robotics and the Springer Tract in Advanced Robotics (STAR). He is the recipient of the 1991 National Science Foundation Presidential Young Investigator award, the 1996 Lindback Award for Distinguished Teaching (University of Pennsylvania), the 1997 Freudenstein Award for significant accomplishments in mechanisms and robotics, the 2012 ASME Mechanisms and Robotics Award, the 2012 IEEE Robotics and Automation Society Distinguished Service Award, a 2012 World Technology Network (wtn.net) award, a 2013 Popular Mechanics Breakthrough Award, a 2014 Engelberger Robotics Award, the 2017 IEEE Robotics and Automation Society George Saridis Leadership Award, the 2017 ASME Robert E. Abbott Award, and the 2018 IEEE Robotics and Automation Pioneer Award. He has won best paper awards at DARS 2002, ICRA 2004, ICRA 2011, RSS 2011, RSS 2013, ICRA 2014, BICT 2015, and MARSS 2016 and has advised doctoral students who have won Best Student Paper Awards at ICRA 2008, RSS 2009, and DARS 2010. He was elected to the National Academy of Engineering in 2013 and the American Philosophical Society in 2018.

Vanguard

Principal Scientist

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Vish has over 20 years of experience in Retail and Financial services industry and works closely with Marketing Managers in designing attribution, propensity and attrition modeling at Vanguard. Prior to Vanguard, Vish has worked for eBay and AIG in its product division and created new revenue models.

Vish has executive management from Wharton school of business, post-graduate degrees in Information Sciences, Statistics, and Computer Engineering from Indian Statistical Institute.

Comcast

VP, Comcast Labs

Analyzing Functional Programs

Techniques like the Free Monad and Tagless Final allow us to build algebras that abstract Monad choices from our business logic. This abstraction allows unit tests to be run in a simple synchronous Monad while production code can still take advantage of complex asynchronous Monads. What else can we do with this abstracted business logic? In this talk, I'll explore the use of the Gen Monad from Scalacheck to produce random walks over our business logic consisting of the steps taken in our abstract algebras.

Will is a visionary technologist, entrepreneur and futurist with over 20 years of experience in AI, Game Theory and Human Behavior. He joined Comcast in early 2016, formed the Machine Intelligence Guild & Comcast Cognitive Service Group. He currently leads advanced Artificial Intelligence efforts for Comcast Labs.

Prior to Comcast, Will founded startups in Health Care technology and Information Security. In the private sector he led Innovation for IGT, served as CTO for Clear Channel Media Network, developed systems for Cantor Fitzgerald and shaped the future of the gaming industry.

Will has proudly served as a member of the US Intelligence community and remains an active advisor for the US Department of Defense. Will holds a Master's degree from Massachusetts Institute of Technology, an MBA, and performed his PHD studies at Imperial College of London. He has a strong passion for giving back by supporting clean water initiatives and violence prevention measures around the world.