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AI in Practice: Speech and Audio — INSPIRIT AI

Meet Inspirit Instructor Rohan Badlani and learn about his work on using AI to understand speech and analyze audio sources

Rohan Badlani is an alumnus of Stanford University’s Master’s program in Computer Science. Passionate about AI, he has applied Machine Learning to speech and audio recognition. Rohan is very excited about the applications of unsupervised learning to help humans in different areas of their daily lives.

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AI in Practice: Biology and Ethics — INSPIRIT AI

Meet Inspirit Instructor Anna Sappington, and learn about her research at the intersection of Biology and AI, and the importance of Ethics in the field.

Anna Sappington is an MIT alumna with a masters degree in machine learning, primarily focused on AI applications involving genomics and medical data. She's excited about the potential for AI to aid in understanding big and complicated data types like these.

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AI in Practice: Perception, Vision, and the Human Brain — INSPIRIT AI

Meet Inspirit Instructor Akshay Jagadeesh and learn about his research at the intersection of AI and Neuroscience

Akshay Jagadeesh is a 4th year PhD student at Stanford, working in the field of computational neuroscience.  In particular, his research seeks to characterize the computations that the brain performs in order to give rise to visual perception and complex natural behaviors.

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AI in Practice: Music and Emotions — INSPIRIT AI

Meet Inspirit instructor Adi Chander and learn about his research at the intersection of AI and music.

Aditya Chander is a Ph.D. student at Yale, applying AI, psychology, and neuroscience to music. He is mostly interested in computational modeling of music, in addition to the perception and cognition of musical structures. He's excited to see these fields heading in the direction of brain-computer interfaces (BCI), especially with applications in music therapy.

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AI in Practice: Medicine and Patient Care — INSPIRIT AI

Meet Inspirit Instructor Swathi Iyer, and learn about her research at the intersection of AI and medical diagnostics

Swathi Iyer is a current Master’s student at Stanford University, where she studies Computer Science. Lately, she has been working with a medical imaging lab at Stanford, where she harnesses computer vision to improve patient care.

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AI in Practice: Economics and Business — INSPIRIT AI

Meet Inspirit Instructor Harry Sha and learn about his work on applying AI in Finance

Harry Sha is pursuing a Master’s degree in Computer Science at Stanford University. Particularly passionate about Math and computer science theory, he has done research on boolean formulae, and he also has experience in applying supervised and unsupervised learning to understand economic trends in the US.

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Through His Research at Yale University, Instructor Mark Torres Uses Natural Language Processing To Study How Ideas and Information Spread Around the World — INSPIRIT AI

Mark Torres recently graduated from undergrad at Yale University this past May (class of 2020) with a degree in Statistics & Data Science. For his research and thesis, Mark used NLP to study how information (and misinformation) is spread online. He is particularly interested in how NLP can b

Mark Torres recently graduated from undergrad at Yale University this past May (class of 2020) with a degree in Statistics & Data Science. He is particularly interested in how NLP can be used to learn more about how people communicate and spread information and, more broadly, studying how things spread (e.g., information, ideas, diseases, etc.).

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Instructor Aarohi Srivastava Uses Her Natural Love of Teaching to Fuel Her Passion of Making Machines Communicate Just as Beautifully as She Does — INSPIRIT AI

Aarohi Srivastava is a senior at Yale University, majoring in computer science. She is particularly interested in natural language processing, and how we can make AI systems that can naturally communicate with and understand humans. What has been the highlight of your teaching experience in Inspir

Aarohi Srivastava is a senior at Yale University, majoring in computer science. She is particularly interested in natural language processing, and how we can make AI systems that can naturally communicate with and understand humans.

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Instructor Raghav Ganesh Sees Himself in the Students He Teaches Machine Learning to, Creative and Eager to Learn More — INSPIRIT AI

Raghav Ganesh is a freshman at Stanford University studying Computer Science. He has worked on research projects throughout high school, primarily focusing on ML in relation to images and healthcare datasets. What has been the highlight of your teaching experience in Inspirit AI? “The highlight of

Raghav Ganesh is a freshman at Stanford University studying Computer Science. He has worked on research projects throughout high school, primarily focusing on ML in relation to images and healthcare datasets.

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As an Engineer for Amazon’s Alexa, Instructor Aansh Shah Designs AI That Changes the Way We Live — INSPIRIT AI

Aansh Shah is an engineer working on the Alexa AI at Amazon. Aansh did his undergrad at Brown University in Applied Mathematics and Computer Science and recently graduated with his Master's (class of 2020) at Brown in Computer Science. His areas of interest include explainability in AI and deploying

Aansh Shah is an engineer working on the Alexa AI at Amazon. Aansh did his undergrad at Brown University in Applied Mathematics and Computer Science and recently graduated with his Master's (class of 2020) at Brown in Computer Science. His areas of interest include explainability in AI and deploying models at scale in the world.

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Instructor Greta Farrell Is Developing Inspirit AI's Middle School Curriculum To Teach and Inspire Future AI Scholars — INSPIRIT AI

Greta Farrell is an MIT alum, class of 2018, where she studied Mathematical Economics with a minor in Public Policy. Greta was a middle and high school math teacher before joining Inspirit as a middle school curriculum developer. Fun fact: Greta only just learned how to code this past year--she took

Greta Farrell is an MIT alum, class of 2018, where she studied Mathematical Economics with a minor in Public Policy. Greta was a middle and high school math teacher before joining Inspirit as a middle school curriculum developer.

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Instructor Ethan Garza Discovered AI Through Serendipity but Since Then, He Has Designed AI Used for Security and Privacy — INSPIRIT AI

Ethan Garza is an undergraduate at MIT studying Computer Science and Electrical Engineering with a minor in Data Science. Ethan is particularly interested in applications of AI for automation purposes. He has experience in using Machine Learning for privacy purposes, and is excited to see the applic

Ethan Garza is an undergraduate at MIT studying Computer Science and Electrical Engineering with a minor in Data Science. Ethan is particularly interested in applications of AI for automation purposes. He has experience in using Machine Learning for privacy purposes, and is excited to see the applications of AI that will help to improve the quality of life for people across the world!

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Instructor Jake Kaplan Knows the Power of AI, and the Burden of Responsibility for Those Who Study It — INSPIRIT AI

Jake Kaplan is a junior at Stanford University studying Mathematics and Theoretical Computer Science. However, he is currently taking a year off to work at a growing startup, Hebbia.AI, creating a reinvented Ctrl-F that understands queries and finds the best answers on a page in seconds. Back on cam

Jake Kaplan is a junior at Stanford University studying Mathematics and Theoretical Computer Science.  Jake is especially interested in the interface of math and computer science, and how mathematical problem solving and proofs can be used to draw powerful conclusions in complexity theory and machine learning (what we'll be talking about here!).

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Instructor Peter Washington Uses AI to Design Digital Therapeutics for Those With Developmental Delays — INSPIRIT AI

Peter Washington is a fourth year Bioengineering Ph.D. candidate at Stanford University. Peter’s thesis works on using machine learning to measure human behavior, particular symptoms related to pediatric autism for diagnostics, and longitudinal tracking. Before his Ph.D., he did a Master's in Comput

Peter Washington is a fourth year Bioengineering Ph.D. candidate at Stanford University. Peter’s thesis works on using machine learning to measure human behavior, particular symptoms related to pediatric autism for diagnostics, and longitudinal tracking.

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Coding for Teens | Instructor Spotlight: Rozy Eastaugh — INSPIRIT AI

Rozy Eastaugh is a senior and incoming Master’s student at Stanford University studying Electrical Engineering. Rozy is passionate about applying engineering to tackle socio-environmental challenges like renewable energy and community-led sustainable agriculture. Apply to join an InspiritAI bootcamp

Rozy Eastaugh is a senior and incoming Master’s student at Stanford University studying Electrical Engineering and minoring in Comparative Studies in Race and Ethnicity. Rozy is passionate about applying engineering to tackle socio-environmental challenges like renewable energy and community-led sustainable agriculture.

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Despite His Years of AI Experience, Instructor Nabib Ahmed is Always Impressed by the Curiosity and Caliber of Inspirit AI's Students — INSPIRIT AI

Nabib Ahmed is a student at Harvard University studying Statistics and Computer Science. Nabib is passionate about data science and is interested in developing new ML algorithms for analysis and prediction. In particular, he is interested in the application of computer vision, time-series forecastin

Nabib Ahmed is a student at Harvard University studying Statistics and Computer Science. Nabib is passionate about data science and is interested in developing new ML algorithms for analysis and prediction. In particular, he is interested in the application of computer vision, time-series forecasting, and simulation.

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Instructor Kumar Ayush's Research Will Create a World in Which AI Assists Doctors With Diagnosis, Treatment, and Prognosis — INSPIRIT AI

Kumar Ayush is a second year Master's student in Computer Science at Stanford University, specializing in Artificial Intelligence. Kumar’s primary research interests lie in the intersection of machine perception, learning, and reasoning, mainly from the perspective of vision. These interests have dr

Kumar Ayush is a second year Master's student in Computer Science at Stanford University, specializing in Artificial Intelligence. Kumar’s primary research interests lie in the intersection of machine perception, learning, and reasoning, mainly from the perspective of vision.