Joel Schindall Pic
Joel Schindall

Professor Schindall re-joined the MIT faculty in June of 2002 after a 35-year career in the defense, aerospace, and telecommunications industries. His research includes the invention and development of a nanotube-enhanced ultracapacitor which holds the promise of being superior to electrochemical batteries as a means of efficient regenerative electrical energy storage, and he has also supervised research on dynamic simulation and reliability analysis of complex safety-critical systems.

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Master the interpersonal, communication, and management strategies you need to increase your impact and become an effective leader in today’s technical environments. Over the course of five days, you’ll learn to lead and motivate teams that produce powerful results by mastering proven techniques for building effective technical teams, managing interpersonal conflict, and creating and communicating a shared vision that drives improved outcomes.
Explore the innovative biotechnology strategies that are improving processes in biological industries around the world. Over the course of five days, you’ll acquire the tools and frameworks you need to enhance your organization’s downstream process—and drive increased value. Through highly interactive lectures and activities, you’ll examine traditional unit operations, as well as new concepts and emerging technologies, which offer benefits to biochemical product recovery. 
Anticipate where your industry is headed—and secure a competitive advantage—by mastering the latest discrete choice models and techniques. In this five-day course, you’ll work with leading MIT experts to discover how to apply discrete choice techniques; analyze challenges related to data collection, model formulation, estimation, testing, and forecasting; and assess online applications that drive optimization and personalization of results.
Acquire the skills you need to build advanced computer vision applications featuring innovative developments in neural network research. Designed for engineers, scientists, and professionals in healthcare, government, retail, media, security, and automotive manufacturing, this immersive course explores the cutting edge of technological research in a field that is poised to transform the world—and offers the strategies you need to capitalize on the latest advancements.
Enhance your knowledge of the quantitative and computational realms of data science through the lens of regression analysis. Over the course of five days, you’ll learn to maximize the power of your advanced computing methods and identify strategies for fitting your data to models. Alongside global peers, you’ll gain a deeper understanding of the underlying mathematical models that form the basis of data science—and learn which models work best in different circumstances.
Preparing for a crisis is not a luxury; it is a necessity. Constant cyber-attacks, the COVID-19 pandemic, and regulatory requirements have proven this. You know the odds are high that your company will suffer, or has experienced, a disaster or crisis. You cannot say you weren't ready; today's extreme public and government scrutiny demand that you should have been prepared. MIT's Crisis Management & Business Resiliency course will help prepare you for the inevitable.
Transform your organization's engineering capabilities with comprehensive AI implementation spanning the complete design-to-deployment pipeline, from LLM-driven parametric design through advanced manufacturing optimization, computer vision quality control, and real-world deployment strategies. In this intensive hands-on course, you'll join accomplished global peers to master deployable AI workflows, create neural surrogates for expensive simulations, implement MLOps practices with regulatory compliance, and build complete integrated systems using open-source tools – leaving with working template libraries and custom components ready for immediate organizational deployment.
Assess the critical elements of the real estate development process from start to finish through the lens of an investor. In this accelerated three-day course, you’ll join a wide range of global professionals from the real estate, banking, finance/investment, and insurance industries to master frameworks for assessing, managing, and pricing risk in real estate development—and acquire proven strategies for determining whether to move forward with a project.
Brian Anthony
Brian Anthony

Lead Instructor

Advanced Data Analytics For IIOT and Smart Manufacturing
AI-Driven Leadership
Bioprocess Data Analytics and Machine Learning
Blended Professional Certificate: Chief Product Officer
Blended Professional Certificate: Technology Leadership Program
Certificado Profesional En Industria 4.0 (Spanish)
Certificado Profesional en Transformación Digital en la era de la IA (Spanish)
Certificado Profissional de Transformação Digital na Era da IA (Portuguese)
Certificat Professionnel en Transformation Numérique à l’Ère de l’Intelligence Artificielle (French)
Developing Immersive Technologies for Manufacturing and Design Engineering
Industrial Internet of Things: From Theory to Applications
Internet of Things Industrial: Teoría y Aplicaciones (Spanish)
Liderança para a Era da IA
Liderazgo para la Era de la IA (Spanish)
Manufatura Inteligente: Produção na Indústria 4.0 (Portuguese)
Mastering Integrated Systems: Imaging, Machine Learning, and Physical AI
Professional Certificate Program in Design & Manufacturing
Professional Certificate Program in Digital Transformation in the AI age
Professional Certificate Program in Industry 4.0
Professional Certificate Program in Machine Learning & Artificial Intelligence
Programa en Alta Dirección: Chief Product Officer
Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
Smart Manufacturing: Operaciones en la 4ª Revolución Industrial (Spanish)

Brian Anthony is the co-director of MIT’s Medical Electronic Device Realization Center and associate director of MIT.nano. With over 25 years of experience in product realization, Brian Anthony designs instruments and techniques to monitor and control physical systems. His work involves systems analysis and design, calling upon mechanical, electrical, and optical engineering, along with computer science and optimization. 

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