AI in Pharma: Clinical Trials
6th annual

AI in Pharma: Clinical Trials

Realizing the full potential of AI in clinical trials

Thursday, October 13th 2022 | Boston, MA

 

Co-Located with AI in Pharma: Discovery

Take me to AI in Pharma: Discovery

I look forward to speaking in this forum to share latest thoughts on the evolving role of ML/AI in the life sciences, hear from some of our industry’s top thought leaders at the intersection of data-sciences and life-sciences, and gain new insights into the application and integration of AI across programs, projects, and pipelines. With the many venues available discussing the role of ML/AI in pharma and biotech, I have found the AI in Pharma: Clinical Trials Summit venue to be a practical forum at the intersection of methods and application that has been a refreshing and catalytic venue for ML/AI insight with real-world and relevant case studies and examples.

John Reynders, Chief Data Sciences Officer, Neumora

I am looking forward to speaking at the AI in Pharma: Clinical Trials because it provides me with an opportunity to present our novel data science methods geared towards accelerating drug development, improving patient/site participation, and reducing risks across the clinical portfolio. I’m really excited to meet with my peers and fellow data scientists from across the pharmaceutical industry to discuss the latest innovations in clinical data science, data management, and advanced analytics.

Amir Emadzadeh, Director, Data science, Gilead Sciences
Crucial Topics

Deep dive into the biggest data, regulatory and organizational challenges hindering the widespread adoption of AI in Clinical Trials. Covering topics such as operational opportunities and leveraging AI for patient benefit, this Summit will highlight the latest AI innovations in the industry.

Senior Level Speakers

This Summit brings together senior leaders from across the pharmaceutical industry to showcase cutting edge developments. With leading experts from both big pharma and biotech, AI in Pharma: Clinical Trials offers you an exclusive opportunity to learn from experts leading the way for the implementation of AI in clinical trials.

Co-Located Event

With AI in Pharma Summit now split into two dedicated days for Discovery and Clinical Trials, each day will deep-dive into the crucial, specific challenges for each stage of the drug development process. This co-located event provides a comprehensive offering, bringing the industry together under one roof for one or two days of learning, networking and inspiration.

Speaker Faculty

John Reynders
John Reynders
Chief Data Sciences Officer
Neumora
John Reynders
Chief Data Sciences Officer
Neumora

John Reynders, PhD MBA, is the Chief Data Sciences Officer at Neumora Therapeutics, a biotech focused upon precision medicines for brain diseases. John is also the founder and CEO of Latent Strategies, LLC, an AI start-up applying data sciences and game theory to business strategy and education. John has over 25 years of leadership experience in life sciences, data-sciences, and technology in organizations spanning early-stage biotechs, multi-national pharmaceuticals, and a top U.S national research laboratory. John’s leadership roles have included VP, Data Sciences, Genomics, and Bioinformatics at Alexion, the founding CIO of Moderna Therapeutics, VP of R&D Information at AstraZeneca R&D, VP Integrative Neuroscience and Biomarkers at J&J, and Director of the Advanced Computing Laboratory at Los Alamos National Laboratory. Dr. Reynders received a Bachelors, in Mathematics from Rensselaer Polytechnic Institute, a PhD in Applied and Computational Mathematics from Princeton University, and a Masters in Business Administration from the Northwestern University Kellogg School of Management.

Andrea de Souza
Andrea de Souza
Vice President
Eli Lilly and Company
Andrea de Souza
Vice President
Eli Lilly and Company
Ryan Copping
Ryan Copping
Global Head of Data Science Acceleration, Product Development Data Sciences
Roche & Genentech
Ryan Copping
Global Head of Data Science Acceleration, Product Development Data Sciences
Roche & Genentech

Ryan is the Global Head of Data Science Acceleration at Roche & Genentech where he leads a team of data scientists, data engineers and software developers to develop products and capabilities that enable scientific insight generation for the clinical trial portfolio.  Ryan has worked for Roche for 19 years and has held multiple data science leadership roles before his current role including building and leading the personalized healthcare analytics team who generated novel insights from real world data sources including electronic medical records, omics datasets and images.  Ryan also leads the Roche Advanced Analytics Network (RAAN) which is a community of over 1500 AI and machine learning enthusiasts from 40 Roche locations across the globe. Ryan’s background is in Statistics and Computing and he has a passion for advanced analytics, new technology and understanding & fostering team culture and engagement.

Gayle Wittenberg
Gayle Wittenberg
VP Neuroscience Data Science and Digital Health
Janssen
Gayle Wittenberg
VP Neuroscience Data Science and Digital Health
Janssen
Zhaoling Meng
Zhaoling Meng
AVP, Global Head Clinical Modeing & Evidence Integration, Digital and Data Sciences
Sanofi
Zhaoling Meng
AVP, Global Head Clinical Modeing & Evidence Integration, Digital and Data Sciences
Sanofi
Faisal Khan
Faisal Khan
Corporate Vice President Advanced Analytics, AI and RWD
Novo Nordisk
Faisal Khan
Corporate Vice President Advanced Analytics, AI and RWD
Novo Nordisk
Sandor Szalma
Sandor Szalma
Global Head, Computatinoal Chemistry
Takeda
Sandor Szalma
Global Head, Computatinoal Chemistry
Takeda

Sándor Szalma is Global Head of Computational Biology in Takeda Pharmaceuticals. He leads a team of computational biologists, structural bioinformaticians, statistical geneticists, and machine learning experts providing in silico support for target discovery, validation and de-risking, computational design, clinical biomarker OMICS analysis and patient stratification modeling in neuroscience, gastroenterology, rare diseases and oncology. He leads the Takeda collaboration with the Exome Sequencing of the UK Biobank Consortium. Prior to joining Takeda, he held positions in data science and informatics in Janssen/J&J. After postdoctoral positions in Syracuse University and J.W. Goethe Universität, Frankfurt, he worked at Biosym/MSI/Accelrys. He is the author of 50 scientific publications and two patents. He received his doctoral degree in physical organic chemistry from A. Szent-Györgyi Medical University in Szeged, Hungary.

Oscar Rodreiguez
Oscar Rodreiguez
VP, Head of Data Engineering
Neumora
Oscar Rodreiguez
VP, Head of Data Engineering
Neumora

Oscar is a fearless technology leader, trusted advisor, and strategic thinker with more than 27+ years of
providing strategic thinking and problem-solving across different industries. Exceptional client management
and team leadership of large-scale, complex, global projects. Expert-level understanding of emerging
technologies: cloud, data modernization, advanced analytics, AI/ML, Digital, web 3.0, CRM, e-commerce,
edge computing, and IoT. Oscar is V.P. Head of Data Engineering at Neumora Therapeutics
(https://neumoratx.com/). Most recently working with members of the leadership team to ensure the
technology vision and strategy meet Neumora’s business needs. In addition to his current role, Oscar is part
of the Executive Committee of the of the Alliance for Artificial Intelligence in Healthcare (AAIH) –
https://www.theaaih.org. Past Experience:  Accenture, Google, Cloud Technology Partners, NCR Teradata,
Oracle and Pfizer.

Ariel Dowling
Ariel Dowling
Director, Digital Innovation
Takeda
Ariel Dowling
Director, Digital Innovation
Takeda

Ariel V. Dowling, PhD is a Director of Digital Strategy within the Data Sciences Institute at Takeda Pharmaceuticals. In this role, Ariel oversees the strategy, assessment, and deployment of digital devices and decentralized clinical trials across the organization. She was previously a Senior Clinical Data Scientist at Biogen Inc where she managed the wearable sensors deployed in clinical trials for Parkinson’s Disease. Ariel was the algorithm team lead at MC10 Inc and a senior research scientist at BioSensics LLC. Ariel holds an MS and PhD in Mechanical Engineering from Stanford University and an AB and BE in Mechanical Engineering from Dartmouth College. She currently serves on the Strategic Advisory Board of the Digital Medicine (DiMe) Society.

Amir Emadzadeh
Amir Emadzadeh
Director, Data science
Gilead Sciences
Amir Emadzadeh
Director, Data science
Gilead Sciences

Amir Emadzadeh is a Director of data science at Gilead sciences, and an adjunct Professor at California Science and Technology University (CSTU). He has more than 10 years of work experience at top Silicon valley companies, including Qualcomm, Nvidia, and Google (Waymo). He holds a PhD in Electrical Engineering from University of California, Los Angeles (UCLA). His current focus is on improving clinical operations using data science. He is working on many exciting ML/AI/Modeling problems including extracting information from Pharmaceutical texts using NLP, image classification, clinical trial site selection, enrollment forecast, and risk-based monitoring.

Mohsen Hejrati
Mohsen Hejrati
Head of AI & Cloud Engineering
Genentech
Mohsen Hejrati
Head of AI & Cloud Engineering
Genentech

Mohsen Hejrati is a computer scientist focused on biotechnology and healthcare. Currently, he is a director of AI & Cloud Engineering at Genentech and co-founder of Galliot (technology consulting). In the past, Mohsen worked as a robotics scientist for self-driving cars at Google[X], and he also founded Maktabkhooneh, the largest Farsi MOOC (served over 18 million students so far, and as of right now, 7 million active students each year), and launched several other startups. Mohsen completed his Ph.D. in Machine Learning and Computer Vision at the University of California, Irvine.

Shams Zaman
Shams Zaman
Director, Global Biometrics & Data Sciences
Bristol Myers Squibb
Shams Zaman
Director, Global Biometrics & Data Sciences
Bristol Myers Squibb
Qinghua Song
Qinghua Song
Senior Director and Head of Data & Statistical Science
Kite Pharma
Qinghua Song
Senior Director and Head of Data & Statistical Science
Kite Pharma

Qinghua Song is the Senior Director and Head of Data & Statistical Science, in Kite Pharma (A Gilead Company). He has nearly 20 years of data and statistical research experiences and comprehensive industry experiences across various stages of drug discovery and development (from research, preclinical, translational science to all phases of clinical trials). He has worked in Merck, Genentech and Gilead Science. He is the author/co-authors of more than 20 peer-reviewed, high-profile indexed publications (including Nature, PNAS, Science of Translational Medicine) and more than 50 presentation/posters in scientific and statistical conferences. He received his Ph.D. (2005) and M.S. (2002) in Biostatistics from University of Wisconsin-Madison.

Alex Aronov
Alex Aronov
Executive Director, Head of Data Science
Vertex Pharmaceuticals
Alex Aronov
Executive Director, Head of Data Science
Vertex Pharmaceuticals

Alex Aronov is Executive Director and Head of Data Science at Vertex Pharmaceuticals, a function he co-founded in 2017 to address data-centric problems across the entire business through application of advanced analytics and machine learning. 

 

Previously, Alex led the Discovery Informatics team at Vertex, with responsibility for HTS content and enrichment, the global chemogenomics initiative, as well as the company’s toxicogenomics efforts. He started his career as a computer-aided drug design scientist and was involved in projects in oncology, inflammation, rare diseases, and antivirals. 

 

Alex serves on the Drug Discovery for the Nervous System committee at the Center for Scientific Review/NIH and is a board member for MIT delta v entrepreneurship bootcamp at the MIT Martin Trust Center. He is an author of over 30 peer-reviewed manuscripts and an inventor on over 40 international patent applications. He holds a PhD in Chemistry from the University of Washington and an MBA from MIT Sloan School of Management, and completed postdoctoral training at the University of California, San Francisco School of Pharmacy.

Partnerships

Bringing together senior-level executives from across the industry, the AI in Pharma: Clinical Trials Summit promises an unrivalled networking and learning opportunity for everyone working in this space.

AI in Pharma: Clinical Trials provides a rare opportunity to showcase your offering to a dedicated, world-class audience. Spaces are limited this year, please contact our commercial manager, Tom (tom@greygreenmedia.com) to discuss opportunities for involvement.

Contact Us +
Partnerships

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