ESP Biography

HAN ALTAE-TRAN, MIT PhD student in biological engineering

Major: Biological Engineering

College/Employer: MIT

Year of Graduation: G

Picture of Han Altae-Tran

Brief Biographical Sketch:

Hi there!

Thanks for stopping by. My name's Han, and I'm a PhD student in Biological Engineering here at MIT. Having grown up with family experiencing a range of medical conditions, I became early in biology, and more generally the sciences, at an early age.

I went on to study mathematics, physics, statistics, computer science, electrical engineering, and poetry at Stanford during my undergraduate and masters degrees. I'm really passionate about sharing knowledge with the world, and thus care deeply about education.

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

H10857: Eros: A Workshop on Love Poetry and Expression in Splash 2016 (Nov. 19 - 20, 2016)
Ever wanted to write a love poem, but worried it'd be too corny? At last, a workshop on love poetry! Here, we'll cover strategies and techniques for writing elegant, emotionally charged love poems. Specifically, we'll cover the use of assonance, dissonance, and sound evolution to create powerful, emotional landscapes. And, most excitingly, you'll get the opportunity to work on your own poems!

S10858: Designing Intelligence in Splash 2016 (Nov. 19 - 20, 2016)
With over 100 billion neurons and 100 trillion connections, the human brain is amazingly complex. Yet, scientists have nevertheless started to uncover what makes humans so intelligent.. In this class, we'll talk about how to translate concepts from neuroscience into abstract parts, and discuss how to assemble these parts into intelligent systems that can solve real world problems, such as driving a car. Bring a problem you find interesting! Perhaps you'll discover a new way to solve it! Keywords: Deep Learning, Visual Cortex, Reinforcement Learning, Recurrent Neural Networks.

C10873: Building a Dream Machine: A Workshop on Computer Vision and Deep Learning in Splash 2016 (Nov. 19 - 20, 2016)
Driving automatically, beating the best Go player in the world, and helping to detect and treat cancer: in recent years, computers have begun to match and even surpass human visual capabilities. Equipped with the exciting ability to see and process images, computers naturally acquire the ability to dream as well. In this interactive workshop, we will discuss cutting-edge methods that programmers use to teach computers how to understand images and video. We will then build our own neural networks using open-source Google tools and explore their properties in detail to help you understand exactly how they work. Surprisingly, we'll need very little math to get to this point! Then, we'll finish up the class by learning how to use these tools to let a computer dream. Note: computers will be provided for this workshop.