Category Archives: projects

Early detection of Twitter trends explained

A couple of weeks ago on Halloween night, I was out with some friends when my advisor sent me a message to check web.mit.edu, right now. It took me a few seconds of staring to realize that an article about

Early detection of Twitter trends explained

A couple of weeks ago on Halloween night, I was out with some friends when my advisor sent me a message to check web.mit.edu, right now. It took me a few seconds of staring to realize that an article about

Information Diffusion on Twitter

This spring, I volunteered to teach a lecture in a new Berkeley course called “Analyzing Big Data With Twitter,” developed jointly by Twitter and Berkeley’s School of Information. I had recently done my masters thesis work on predicting the spread

Information Diffusion on Twitter

This spring, I volunteered to teach a lecture in a new Berkeley course called “Analyzing Big Data With Twitter,” developed jointly by Twitter and Berkeley’s School of Information. I had recently done my masters thesis work on predicting the spread

Semi-Supervised Shape Classification with Manifold Regularization

For my Statistical Learning Theory class I did a project on shape classification using manifold regularization. You can read the abstract below. You can also find the paper here and the code here. We approach the problem of semi-supervised shape classification

Semi-Supervised Shape Classification with Manifold Regularization

For my Statistical Learning Theory class I did a project on shape classification using manifold regularization. You can read the abstract below. You can also find the paper here and the code here. We approach the problem of semi-supervised shape classification

Underactuated Control of Vehicular Traffic

When self-driving robotic cars begin to share the road with regular cars, could we control the robotic cars to smooth out traffic jams? I did a numerical and theoretical study of vehicle traffic dynamics and control policies that smooth traffic even

Underactuated Control of Vehicular Traffic

When self-driving robotic cars begin to share the road with regular cars, could we control the robotic cars to smooth out traffic jams? I did a numerical and theoretical study of vehicle traffic dynamics and control policies that smooth traffic even

The Statistical Structure of Rhythm

I took a quick break with some random hacking last night. I wanted to see what kind of statistical structure there is in rhythm, since I am always tapping on various vaguely percussive objects. You can see the code on

The Statistical Structure of Rhythm

I took a quick break with some random hacking last night. I wanted to see what kind of statistical structure there is in rhythm, since I am always tapping on various vaguely percussive objects. You can see the code on

Finding Features in Fly Embryos

In progress … (but feel free to read anyway!) In this post I’ll tell you about some progress I’ve made in automatically detecting morphological features in fly embryo images.  But first, a little background. Why would one want to automatically

Finding Features in Fly Embryos

In progress … (but feel free to read anyway!) In this post I’ll tell you about some progress I’ve made in automatically detecting morphological features in fly embryo images.  But first, a little background. Why would one want to automatically

Stuck detection for mobile robots

No matter how clever your navigation and obstacle avoidance code is, occasionally, your robot will probably get stuck.  Perhaps it bashes into a wall it didn’t see when it goes for a target, or maybe some appendage got snagged somewhere. 

Stuck detection for mobile robots

No matter how clever your navigation and obstacle avoidance code is, occasionally, your robot will probably get stuck.  Perhaps it bashes into a wall it didn’t see when it goes for a target, or maybe some appendage got snagged somewhere. 

Wall-following for mobile robots

Wall-following is a relatively simple and useful method for an autonomous mobile robot to explore its environment. However, wall-following can be tricky for a number of reasons: Incomplete sensor coverage Limiting behaviors of range-finding infrared (IR) sensors Variety and complexity

Wall-following for mobile robots

Wall-following is a relatively simple and useful method for an autonomous mobile robot to explore its environment. However, wall-following can be tricky for a number of reasons: Incomplete sensor coverage Limiting behaviors of range-finding infrared (IR) sensors Variety and complexity

Teaching People to Teach Machines with Mechanical Turk

Mechanical Turk has proven to be a powerful tool for machine learning.  In particular, it makes it very easy to generate large amounts of training data for machine learning tasks.  For example, one can have Mechanical Turk workers transcribe recorded

Teaching People to Teach Machines with Mechanical Turk

Mechanical Turk has proven to be a powerful tool for machine learning.  In particular, it makes it very easy to generate large amounts of training data for machine learning tasks.  For example, one can have Mechanical Turk workers transcribe recorded

The Principal Components of Handwritten ‘2’s

Another example of principal components of shape datasets, this time images of ‘2’s from the MNIST handwritten digit database.  The images below are the first 50 principal components.

The Principal Components of Handwritten ‘2’s

Another example of principal components of shape datasets, this time images of ‘2’s from the MNIST handwritten digit database.  The images below are the first 50 principal components.