| title | Home | |
|---|---|---|
| image_sliders |
|
The Efficient Learning and Graph Algorithm Techniques for Omics (EL GATO) Lab at UConn was founded in 2018 and includes researchers with a wide range of interests and specialties. Our research aims to develop probabilistic machine learning models, combinatorial algorithms, and scalable inference methods to better understand high-dimensional data, particularly genomics and genetics data applied to complex disease.
{% include section.html full=false %}
{% include slider.html selector="slider2" %}
{% include section.html %}
{% include list.html data="posts" component="post-excerpt" %}
{% include section.html %}
{% capture text %} We focus on Bayesian machine learning and combinatorial methods development across a wide range of areas.
{:.center} {% include link.html link="team" text="Meet our team" icon="fas fa-arrow-right" flip=true %}
{:.center} {% include link.html link="publications" text="See publications" icon="fas fa-arrow-right" flip=true %}
{:.center} {% include link.html link="tools" text="Browse our tools" icon="fas fa-arrow-right" flip=true %}
{:.center} {% endcapture %}
{% include feature.html image="images/bamie.png" link="research" title="Our Research" text=text %}