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@@ -115,6 +115,16 @@ Undergraduate Data Science student interested in ML and privacy, Project Credit
 
 :::::
 
+:::{grid-item-card}
+:img-top: _static/img/evan_aramayo.png
+Evan Aramayo
+^^^
+Evan Aramayo is an Undergraduate Researcher studying Machine Learning in socio-technical systems, with a focus on fairness in automated decision-making. Their work explores the ethical and societal impacts of AI, combining data science, tool-building, and interdisciplinary collaboration.. His goal is to pursue a career in software development/engineering, AI/machine learning, and the combination of business and sports management with CS. I am to combine both CS and hardware in these fields and am actively searching for opportunities to grow personally and professionally.
++++
+[{fab}`github` ](https://github.com/EvanAramayo)
+[{fab}`linkedin`](https://www.linkedin.com/in/evan-aramayo/)
+:::
+
 <!-- Previously she was a [Data Science Initiative](https://www.brown.edu/initiatives/data-science/) Postdoctoral Research Associate at Brown University affiliated to the Division of Applied Mathematics and hosted by Professor Bjorn Sandstede and a [Chancellor's Postdoctoral Fellow](https://diversity.berkeley.edu/programs-services/postdoctoral/about-cpfp) in Computer Science at the University of California, Berkeley with faculty mentor Professor [Mike Jordan](https://people.eecs.berkeley.edu/~jordan/). While at UC Berkeley, she was a member of the [Algorithmic Fairness and Opacity Group](https://afog.berkeley.edu/). She completed a BS in Electrical Engineering with a minor in Biomedical Engineering, a MS in Electrical and Computer Engineering and a PhD in Electrical Engineering all at Northeastern University. Her PhD was focused on Machine Learning for Psychology applications and supervised by [Jennifer Dy](http://www.ece.neu.edu/fac-ece/jdy/). Her graduate studies were supported by a Draper Laboratory Fellowship and a National Science Foundation Graduate Research Fellowship. Her other professional activities include teaching computational data analysis skills and pedagogy to researchers with The Carpentries. Previously she was treasurer on the Women in Machine Learning, Inc  Board of Directors and National Academic Excellence Chair on the National Society of Black Engineers Board of Directors. -->
 
 <!-- {badge}`https://github.com/brownsarahm,"LinkedIn",cls=badge-info text-white,tooltip=see my work on GitHub` -->