Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
Join us in London for an immersive full-day workshop delving into how AWS's cutting-edge High Performance Computing (HPC), Machine Learning (ML), and Generative AI (GenAI) technologies are revolutionizing biological research. Gain insights from AWS' compute experts on HPC/ML services, EC2 instance types, and future product roadmap, alongside key use cases from leading BioPharma and technology partners. Explore the latest GenAI approaches in protein folding, AI frameworks like NVIDIA's BioNeMo, and Cryo-EM structure-based drug discovery. Uncover AWS's self-managed services like AWS ParallelCluster and Amazon SageMaker. Learn to build a Modern Data Strategy and Connected lab operations at scale. Discover managed services for Genomics and GenAI, including AWS HealthOmics, Titan, and Bedrock.
Stay for an evening of networking to extend the conversation beyond the workshop’s discussions.
Bring a photo ID or work badge. Register today as spots are limited!
Technical and Scientific stakeholders in Research IT, Scientific Computing, Data Science, Computational Biology/Chemistry, Translational Research, Startups, and Academic Researchers.
Participants will leave with knowledge of the most advanced HPC and AIML workloads including genomics, protein folding, molecular modeling, and structure based drug design. In this workshop, you’ll learn:
• About AWS latest EC2, HPC, and GenAI services for Life Sciences workloads
• Cutting edge R&D use cases from leading industry experts
• Setting up Hybrid HPC for Structure Based Drug Discovery workloads
• Overview of building Foundational models using AWS HPC and ML services.
• Overview of building Connected Labs at scale using AWS Digital Labs Framework
• Overview of Modern Data Strategy including data governance and Data Mesh
• An introduction to AIML managed services and AWS HealthOmics
Sean is a seasoned professional with experience in designing, building, and operating highly scalable cloud solutions, with a special focus on genomics and life sciences data processing. With the mission of harnessing technology to drive innovation, Sean leads a dedicated team of software developers, engineers, and architects at AstraZeneca’s Centre for Genomic Research (CGR). His primary goal is to empower scientists by providing them with actionable insights derived from vast datasets.
Luis has over a decade of experience in software and infrastructure engineering. He has worked supporting researchers' use of HPC systems, developed software tools and pipelines for genome assembly and annotation, and developed GPU accelerated physics modelling software for oil exploration. Prior to Exscientia, he worked at a BBSRC-funded life sciences institute specialising in genomics and data science, where he gained insights into the opportunities and challenges of healthcare life sciences applications.
Grzegorz Skoraczyński is a Senior Scientist I, Bioinformatics at Biognosys AG. Among others, Grzegorz works in a team responsible for developing Spectronaut, a software for analyzing data-independent acquisition (DIA) proteomics experiments, for computation in HPC environments. Before Biognosys, Grzegorz was pursuing his PhD in computer science at the University of Warsaw where he was researching the computational aspects of mass spectrometry data analysis with an application to proteomics.
Ben has been at Genomics England for 5 years throughout their Cloud Journey from small on-premise greenlit government startup into a rapid growing hybrid business.
Prior to Genomics England Ben spent 5 years in Software Development in various roles in London, Toronto, and Melbourne and has BSc in Computer Science from Durham University
Chris McCurdy serves as Chief Architect of Healthcare and Life Sciences (HCLS) for Amazon Web Services (AWS), where he leads teams responsible for architecting cutting-edge platforms, analytics capabilities, and cloud- based solutions and. With over 20 years of industry experience, Chris plays a key role in envisioning and developing innovative solutions and services that accelerate customers value while improving patient outcomes. Chris has a B.S. in Mathematical Sciences from Oregon State University, with graduate work focused on statistics and set theory.
Aniket Deshpande is the World Wide Business Development lead for HPC in Healthcare Life Sciences at AWS. Aniket has over 16 years of experience in the biopharma and clinical informatics space, where he has developed and commercialized clinical-grade software solutions and services for genomics, molecular diagnostics, and translational research.
Soham Garg is a Specialist SA in High-Performance Computing and works with technologies ranging from tightly coupled simulations to high throughput workloads. All of these technologies are used in the Healthcare and Life Science space for different stages of research and implementation, and so he is focussed on carrying these best practices into new applications in this area
Brendan Bouffler has 25 years of experience in the global tech industry creating large-scale systems for HPC environments. He’s been responsible for designing and building thousands of systems for researchers and engineers, in every continent. Many of these efforts fed the top500 list, including some that made the top 5.
Nora is a seasoned technology strategist working at Amazon Web Services (AWS), where she collaborates with global Life Science customers seeking to implement cutting-edge Modern Data Architectures. In her role, Nora leverages her extensive experience spanning multiple decades and diverse industries to guide customers in addressing complex challenges related to Data Management, Strategy, and Governance.
Patrick Lamplé has 15+ years of experience in Life Sciences and Healthcare, with a strong focus on data and analytics to support innovations. Geneticist and Bioinformatician by training, Patrick started in a biotech startup on theranostics for digestive tract cancers. Then he worked for BioPharma companies (Sanofi, Servier) around clinical trials and analytics, including big data, advanced analytics, HPC. He also led innovations and digital programs.
Brian Skjerven is a Senior Specialist SA in High-Performance Computing working across a range of domains, including semiconductor, engineering, and finance. However, his main focus is on HCLS, helping customers with workloads in genomics, cryoEM, and molecular dynamics. Prior to AWS, Brian was at the Pawsey Supercomputing Centre in Australia, helping researchers scale their research workloads on one of the largest supercomputer in the southern hemisphere.
Hasan Poonawala is a Senior AI/ML Specialist Solutions Architect at AWS, working with Healthcare and Life Sciences customers. Hasan helps design, deploy, and scale generative AI and Machine learning applications on AWS. He has over 15 years of combined work experience in machine learning, software development, and data science on the cloud. In his spare time, Hasan loves to explore nature and spend time with friends and family.
Anaïs González Iglesias is a Business development consultant with extensive experience in Healthcare, particularly in Precision Medicine & Genomics. She holds a PhD in Computational Physics and is currently pursuing a PhD in Economics. Additionally, she holds a Master's degree in Health Economics and Pharma Economy, as well as a specialization in Bioinformatics, Genomics, and Molecular Biology.
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