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Academic Team
Meet the AI for Good Institute 2024 Academic Team! This team leads curriculum design, instruction, and academic support.
Nabila Elassar
Founder & CEO, Impact Genius
Academic Director, AI for Good Institute
Alum, Graduate School of Education, Stanford University
Nabila is the Founder & CEO of Impact Genius and the Academic Director of our AI for Good Institute at Stanford.
An ex-Microsoft global education strategy professional and Stanford alum with extensive experience in education, technology, business, and international affairs, as well as 12+ years of curriculum development and instructional leadership.
Nabila's professional career includes experience in corporate, tech, entrepreneurship, education, nonprofit, and international organizations. As a tech professional, she worked at Microsoft U.S. and Microsoft HQ for almost 4 years within education technology & corporate strategy roles. In her first role, she led a technical cross-functional V-team to empower strategic clients and partners to leverage the full Microsoft technology suite to accelerate digital transformation in the COVID era, generating $100M+ in revenue for the business. In her second role, she worked within the global education corp. HQ team on business strategy, collaborating with the Microsoft HQ education engineering (product), finance (business planning), and marketing (PMM) teams. As the founder and academic director of United Ambassadors, she led the academic research, curriculum design and delivery, and strategic partnerships of world-renowned UN education programs held at the United Nations, including joint UN workshops and conferences widely attended by 10,000+ students in 12 countries worldwide. These programs engaged youth with the UN SDGs, and prepared them for careers in impact, public leadership, and or diplomacy,
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Nabila holds an MA in Education, Policy, and Leadership Studies from Stanford University. During her Graduate studies, she attended programs at the Stanford Graduate School of Education, the Graduate School of Business, the Stanford School of Engineering, and the Stanford D.School (Design School). She holds a Bachelor's Degree in Business Administration from the German University in Cairo, where she graduated with high honors. Her Professional Education journey includes a series of programs that span the fields of data science, artificial intelligence, machine learning, product management, entrepreneurship and innovation, and nonprofit/ public leadership at Harvard, Stanford, MIT, and others. At MIT, she is completing a Data Science, AI, and Machine Learning Professional Program. At Stanford, she completed Ignite, an Entrepreneurship Bootcamp at the Stanford Graduate School of Business, an Advanced Project Management Executive Education program at SCPD, and a Tech Ethics and Policy for Practitioners program with the School of Engineering and SCPD. At Harvard, she completed a number of courses as part of an Executive Certificate Program in Nonprofit and Public Leadership. She obtained Product Management Certifications from the Pragmatic Institute and is completing an AI Scientist Certification program at the U.S. Artificial Intelligence Institute. Additionally, she is a Certified Professional Coach and incorporates coaching principles in her teaching and teamwork.
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Nabila designed the AI for Good Institute with a deep belief in the value of professional education in the technology space that is comprehensive, immersive, and directly applicable to practical careers. Our mission is to equip the next generation of technology professionals with the skills and tools to drive AI innovation and AI for Good advocacy as entrepreneurs and corporate innovators.
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Oumaima Makhlouk
AI/ ML Academic Coordinator, AI for Good Institute, 2024
Oumaima Makhlouk is a data scientist at Intel Corporation's AI & Telemetry Solutions group, where she designs predictive models for device performance health and develops AI tools for transistor yield optimization. She also works as a part-time data consultant at the World Bank's Development Impact (DIME) Group on how to leverage mobile phone data to provide up-to-date poverty maps of regions in Africa.
In addition, she is the Data Focal Point of the United Nations' Major Group for Children and Youth, focusing on science and policy initiatives. In particular, she leads the organization of the annual Datathon, in collaboration with the UN Statistics Division and the UN Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD). It is a global data science competition for students and data professionals to work on data-driven solutions to address Sustainable Development Goals, with mentors coming from both the public and the private sectors.
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Oumaima holds a Master's degree in Mechanical Engineering from the Massachusetts Institute of Technology and a dual MSc/BSc degree in Mathematics & Mechanical Engineering from Arts et Métiers ParisTech.
Younes Bensouda Mourri
Founder & CEO, Livetech.AI
Lecturer, Machine Learning at Stanford University
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AI/ ML Curriculum Adviser and Guest Lecturer: AI for Good Institute
Younes Bensouda Mourri is the founder of LiveTech.AI, an AI learning platform that transforms academic institutions by providing them with AI tools. He got his B.S. in Math & Computer Science and M.S. in Statistics all from Stanford University. He started a PhD at MIT in Social Robotics and is currently on leave to work on LiveTech.AI. He co-created 5 Deep Learning, 4 Natural Language Processing, and 1 Machine Learning course that have reached over 1.3 million learners online. 23% of the online learners got a job in AI after completing the courses. He is currently an Adjunct lecturer of computer science at Stanford since the age of 22 where he teaches Machine Learning with Andrew Ng. Younes previously worked in Coursera and Deeplearning.AI where he not only developed and taught courses but also built smart AI auto-graders capable of grading millions of submissions in real time. Outside of Stanford, he taught/teaches generative AI courses in companies like ASML, CISCO, Boston Consulting Group (BCG), etc. Recently his interests are in developing AI educational tools and more specifically NLP for personalized feedback and chain of thought reasoning.
Younes was born and raised in Morocco and advocates for Artficial Intelligence powered education. He helps people learn new skills to prepare them for jobs in a fast changing world. His work focuses on Artificial Intelligence. Younes prefers working with products from the start. He is interested in data acquisition strategies to build solid AI models during the early prototyping phases of product. Finally, while at Stanford, he built an interest in education technology and is particularly interested in using technology and AI for better social learning.
Abdulwahab Omira
Lead AI/ ML Teaching Assistant, AI for Good Institute 2024
BA, Stanford University, Computer Science and AI
Abdulwahab Omira is a Stanford Computer Science graduate who is passionate about teaching and applying AI for Good.
While completing his Bachelor's degree in CS at Stanford focusing on AI, he served as a Section Leader (Teaching Assistant) for the foundational CS 106A, CS 106B, and CS 198: Programming Abstractions courses. As a TA at Stanford, he guided many students through weekly discussion sections, providing feedback on programming assignments and conducting office hours. Additionally, he gained experience training new Section Leaders (TA's) on specific skills and techniques to effectively lead student sections.
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Passionate about using technology for social good, Abdulwahab initiated the Stanford Pupper International Program through the Stanford Robotics Club. This teaching mission brought hands-on robotics education to children in refugee camps in Turkey and Lebanon, fostering STEM learning in underserved communities.
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Abdulwahab's areas of expertise include artificial intelligence, machine learning, computer vision, and large language models. He currently collaborates with Stanford's Frugal Science Lab on DermoAI, a innovative tool leveraging advanced computer vision to diagnose skin conditions, increasing healthcare accessibility.
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Drawing from experience in research and development projects like drone-based UXO detection and computer vision for license plate recognition, Abdulwahab brings a wealth of practical knowledge to enrich his teaching and research pursuits.
May Xu
Entrepreneurship Project Adviser, AI for Good Institute 2024
May is currently ICF coach to support founder/entrepreneur/change maker's inner growth and transformation. May rides the tides of significant technology advancement of AI/Data field for the past 20 years in different industries and business functions. Her role includes AI technologist, Data Driven Business Operater, AI product owner/strategist and Startup COO, in transformative companies such as LinkedIn. May runs her own coaching firm and is committed to humanize AI technology & practice. She hold M.S. in Petroleum Engineering from Stanford with thesis on information theory based pattern recognition.
Anfal Siddiqui
AI/ ML Project Adviser, AI for Good Institute 2024
Machine Learning Engineer, Google
MA, Stanford University, Computer Science: AI & Deep Learning
Anfal Siddiqui is a Machine Learning Engineer at Google, where he develops high-performance training frameworks for Large Language Models (LLMs) and Diffusion Models on Cloud TPUs and GPUs. Across his 6+ years of industry experience, Anfal has also worked as a Software Engineer, Research Engineer, and Product Manager at places like Salesforce, Salesforce Research, and Uber. In these positions, he spearheaded the development of enterprise-scale applications and innovative Applied ML projects.
Anfal is also an alumnus of Stanford University, holding a Master’s degree in Computer Science with a specialization in AI and Deep Learning. During his time at Stanford, Anfal focused his academic and research endeavors on NLP and AI for Healthcare, working under the guidance of ML legends like Christopher Manning. He also served as a Course Assistant for Andrew Ng’s popular Deep Learning course, CS 230, mentoring projects spanning Computer Vision, LLMs, and Graph Machine Learning.
Furthermore, Anfal holds a Bachelor's in Computer Science from UC Berkeley, where he graduated with Highest Distinction and as a Phi Beta Kappa inductee. He is also deeply involved in the world of entrepreneurship, having been part of one of eight founding teams chosen for Stanford's highly selective Spring 2022 Lean Launchpad cohort and having worked at multiple startups.
Angela Tseng
Sustainability Project Adviser, AI for Good Institute 2024
Master of Science in Engineering, Management Science, Stanford University.
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Angela Tseng is a versatile individual with a background spanning across various industries. She is an achiever with an impressive academic record. Angela studied Bachelor of Science in Computer Science and earned a Master of Science in Engineering, Management Science from Stanford University.
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Angela's career began as a consultant at Mercer Management Consulting. She then moved on to a senior management position at American Express, where she worked on new product development. She also worked as a network planner at Hawaiian Airlines, where she had to take care of schedules and routes.
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Angela is a true leader, having managed a Spice Market New York restaurant as the general manager. She then became an independent consultant for Oliver Wyman, where she honed her skills as an analytical thinker. Currently, she is the owner and general manager of a vacation rental, where she can use her expertise in management and customer service skills.
With a vast array of skills, from project management to data analytics, Angela is an asset wherever she works. Her dedication and leadership qualities shine through in everything she does. Angela's experience in networking, management, and development make her an invaluable member of any team.
Supreet Kaur
AI/ ML Project Adviser, AI for Good Institute 2024
Rutgers University: MBS in Analytics- Data Science & Discovery Informatics
Supreet Kaur is an expert in creating impactful data and AI solutions for regulated industries to solve their most pressing problems and eliminate operational inefficiencies. She holds a patent for developing cutting-edge strategies to measure the efficacy of AI engines. She is an ardent writer and international speaker on data and AI. She is a Google WomenTech Makers ambassador and LinkedIn Top Voice 2024 for data and AI.
Aly H. Abayazeed, MD, MS
AI/ ML/ Healthcare Project Adviser, AI for Good Institute 2024
Stanford Healthcare Management and AI
Stanford I NeuroRad I Entrepreneur I Inventor I MedTech Founder
Aly H. Abayazeed is a highly accomplished neuroradiologist with extensive experience in clinical practice, research, AI, clinical informatics, business strategy and healthcare management. He obtained his MD from Cairo University, Egypt, and further specialized in diagnostic radiology, achieving board certification and a Certificate of Added Qualification (CAQ) in Neuroradiology. He recently completed a Masters in Business, Healthcare and Digital Technologies/AI from Stanford Medicine (MCiM).
Dr. Abayazeed has held several notable academic and clinical positions, including Assistant Professor of Neuroradiology at the University of Massachusetts Memorial Medical Center and Associate Neuroradiologist at Bay Imaging Consultants. His industrial affiliations include serving as Chief Medical Officer at Neosoma, Inc., and as Senior Medical Advisor for AI Algorithms Development at Paxera Health.
He has been the primary investigator for FDA-cleared AI devices in neuro-oncology and has numerous peer-reviewed publications and patents to his name. Dr. Abayazeed is also a recognized speaker, having presented at prestigious conferences on topics such as advanced imaging in brain tumor management and the use of AI in neuro-oncology.
A dedicated member of several professional societies, Dr. Abayazeed continues to contribute significantly to the fields of neuroradiology and healthcare informatics.”
Abdoul Jalil Djiberou Mahamadou
AI/ ML/ Healthcare Project Adviser, AI for Good Institute 2024
Post-doctoral Scholar, Biomedical ethics, Stanford University
Dr Abdoul Jalil Djiberou Mahamadou is a Stanford and GSK.ai postdoctoral fellow in Artificial Intelligence (AI) and Biomedical Ethics. His research investigates the ethical, legal, and social implications of healthcare AI to recommend policies and guidelines for the responsible development and use of AI. Specifically, his research focuses on developing culturally sensitive ethical AI frameworks that align with community values, norms, and beliefs with a case study in Africa.
On the technical lens, Dr Djiberou explores the co-design between AI experts and marginalized communities of technical bias and fairness solutions. Before Stanford, he completed a postdoctoral fellowship in AI and cognitive aging at Simon Fraser University and a short postdoctoral fellowship at the University of Clermont Auvergne where he contributed to the development of an algorithm for anomaly and concept drift detection in stream data.
Dr Djiberou holds a PhD in Computer Science, an MSc in Computer Science, an MEng in Applied Mathematics from the University of Clermont Auvergne, and a BSc in Applied Mathematics from the University of Fez. He is currently volunteering at Impact Genius as an AI/ML Project Adviser.
Galym Imanbayev
VC Mentor, Entrepreneurship Project Adviser, AI for Good Institute 2024
Partner at Lightspeed Ventures, Healthcare
Dr. Galym Imanbayev joined Lightspeed in 2020 as a Partner focused on the Health sector. Galym’s interest in health is rooted in his childhood experiences growing up in Kazakhstan following his father on trips to rural towns to ensure medicine was accessible not only for those of privilege in the cities but to the underserved communities outside. Seeing the proper administration and power of medicine uplift entire communities drove Galym to pursue dual economics and pre-medical undergraduate studies, and later graduate with a dual MD/MBA degree from Stanford University School of Medicine and Graduate School of Business.
Galym’s interest in venture capital was first sparked by a cardiac diagnostic technology which he would eventually help lead investment in. While Galym had done research in cardiac imaging and studied economics as his major, the two fields always seemed like parallel paths with little crossover. Seeing the way the physician founder and his physician investors accelerated the scientific discoveries into tangible clinical products to help patients, Galym realized that healthcare venture capital is a unique bridge that merged his then parallel worlds of medical innovation and finance.
Before his graduate studies, Galym spent the majority of his time as an investor at Capricorn Healthcare & Special Opportunities. At Capricorn, he invested across a broad range of sectors and stages of companies, including diagnostics, health IT, provider, and senior health markets, including investments in Epic Systems, CPF Senior Living, and the
Abed El-Husseini
AI/ ML Project Adviser, AI for Good Institute 2024
Applied AI Engineer, Deloitte. Focus: GenAI and LLMs.
Abed is a technologist working at the intersection of strategy, operations and AI at Deloitte Consulting.
As Data Science Manager, he leads innovative projects with a particular emphasis on Generative AI applications and also serves as adjunct lecturer at the UC San Diego Halıcıoğlu Data Science Institute
His diverse portfolio includes high-impact data science and analytics initiatives across the technology, healthcare, and government sectors
Abed holds a Master's Degree in Integrated Systems Engineering and a Bachelor's degree in Electrical & Computer Engineering from The Ohio State University.
Nigel Clarke
Entrepreneurship Project Advisor, AI for Good Institute 2024
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Nigel Clarke is an experienced and interdisciplinary innovator who specializes in defining and de-risking product innovations through strategic prototyping. He has led initiatives ranging from new AI and XR products to user-centric pivots on future kitchen technologies. He leverages his background in user-centered design, software and hardware to offer a unique and creative perspective to defining impactful products and experiences.
Nigel's career began as an early employee at Medella Health, where he developed new technologies for build glucose-monitoring contact lenses. His journey continued with roles in product innovation and advanced technology teams at Samsung and HP. He earned a Master's degree in Mechanical Engineering from Stanford University, focusing on Design Methodology, and holds a Bachelor's degree in Nanotechnology Engineering from the University of Waterloo. He's also held research positions at Harvard and Caltech.
Alec Macrae
Entrepreneurship Project Advisor, AI for Good Institute 2024
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Alec leads the Research & Development teams at a Financial Services startup aimed at making the distribution of capital more equitable. Prior to his current role, he led and worked on a number of data, machine learning, and AI teams across a wide range of technical domains.
Having seen the power of our ever-improving technology used for both good and less altruistic means, he is excited to be able to work closely with the next wave of visionaries by helping guide them in their journey towards finding the intersection of positive global impact and entrepreneurial success.
Abhinav Raghunathan
Entrepreneurship Project Advisor, AI for Good Institute 2024
Abhinav Raghunathan is a data science leader and AI expert with a strong track record of carrying challenging AI R&D projects to completion with a focus on responsible, high-impact, and cuttingedge technology. He currently works for AI @ KPMG, but has prior experience at Vanguard, Point72, and other financial services firms.
In 2022, Abhinav founded the Ethical AI Database (EAIDB), a market research organization established to categorize, track, and research the responsible AI enablement industry. EAIDB has worked with international governments, VC firms, and startup founders to further the awareness and mission of responsible AI. Abhinav has two bachelor's degrees in Computational Engineering and Mathematics from UT Austin and a master's in Data Science from the University of Pennsylvania.
Leela Solomon
Project Advisor, AI for Good Institute 2024
Leela Solomon is Stanford Engineering graduate with a career focus on developing novel sustainability technologies and human-centered design. With a foundation in the underlying physics and engineering principles of technologies, as well as experience across industries and countries, she combines technical expertise with a focus on real-world impact.
As a Renewable Energy Consultant at Black & Veatch, Leela specialized in analyzing utility-scale renewable energy projects from engineering design to operation, often for projects that were the first of their kind in the international energy industry. She has worn many hats at energy-focused startups, such as Wa.tt Inc. and the Stanford University ARPA-E Energy Efficiency Behavior Change Initiative, both of which applied neurobiological and gamification principles to assist users with their own desired energy conservation efforts.
Leela is currently leading the Data Science Working Group at Code for San Francisco.
Senan Khawaja
Entrepreneurship Project Advisor, AI for Good Institute 2024
Senan Khawaja is the Co-Founder & CEO of Kollegio AI, a company revolutionizing higher education with AI and data-driven solutions. Senan previously served as the President of the Stanford Chapter at OPEN Silicon Valley and was a DIME Analyst at The World Bank. Senan also co-founded Entropy Education, a startup helping low income students with college admissions.
Senan is currently pursuing a degree in Econometrics, Quantitative Economics & International Development at Stanford University.