<commit_before> I am a third-year Computer Science Ph.D. student at Carnegie Mellon University and am supported by an NSF graduate research fellowship. I spent the first two years of my Ph.D. working between mobile systems and applied machine learning and I now work with [<NAME>](http://zicokolter.com/) on machine learning and optimization. I am particularly interested in improving our understanding of important modeling problems in computer vision, language, and reinforcement learning through the use of deep learning, optimization (sometimes convex), theory, and statistics. As examples, see our [input-convex neural network](https://arxiv.org/abs/1609.07152) and [OptNet](https://arxiv.org/abs/1703.00443) papers. 

I strongly believe in open science and reproducible research and actively publish code on [my Github profile](https://github.com/bamos). I am also the author of [OpenFace](https://cmusatyalab.github.io/openface/), which is an open source face recognition project that uses deep learning.


## <i class="fa fa-chevron-right"></i> News
<table class="table table-hover">
<tr>
  <td class='col-md-3'>June 2017</td>
  <td>Our ICNN and OptNet papers have been accepted to ICML and the camera-ready versions are available on arXiv.</td>
</tr>
<tr>
  <td class='col-md-3'>May 2017</td>
  <td>I am interning at Google DeepMind in London this summer with Nando de Freitas.</td>
</tr>
</table>


## <i class="fa fa-chevron-right"></i> Education

<table class="table table-hover">
  <tr><commit_msg>Update cv.<commit_after> I am a Computer Science Ph.D. student at Carnegie Mellon University and am supported by an NSF graduate research fellowship. I spent the first two years of my Ph.D. working between mobile systems and applied machine learning and I now work with [<NAME>](http://zicokolter.com/) on machine learning and optimization. I am particularly interested in improving our understanding of important modeling problems in computer vision, language, and reinforcement learning through the use of deep learning, optimization (sometimes convex), theory, and statistics. As examples, see our [input-convex neural network](https://arxiv.org/abs/1609.07152) and [OptNet](https://arxiv.org/abs/1703.00443) papers. 

I strongly believe in open science and reproducible research and actively publish code on [my Github profile](https://github.com/bamos). I am also the author of [OpenFace](https://cmusatyalab.github.io/openface/), which is an open source face recognition project that uses deep learning.


## <i class="fa fa-chevron-right"></i> News
<table class="table table-hover">
<tr>
  <td class='col-md-3'>June 2017</td>
  <td>Our ICNN and OptNet papers have been accepted to ICML and the camera-ready versions are available on arXiv.</td>
</tr>
<tr>
  <td class='col-md-3'>May 2017</td>
  <td>I am interning at Google DeepMind in London this summer with Nando de Freitas.</td>
</tr>
</table>


## <i class="fa fa-chevron-right"></i> Education

<table class="table table-hover">
  <tr>
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