Merge pull request #221 from stompsjo/js-update

update stomps profile page (including orcid)

community/people/js/index.md

@@ -5,25 +5,56 @@ image: stomps.jpg
 role: PhD Candidate
 email: 
   - [email protected]
-room: "434 Engineering Research Building"
-address: "1500 Engineering Dr"
-google_map: "https://www.google.com/maps/place/Engineering+Dr,+Madison,+WI+53706/@43.0722638,-89.4132024,17z/data=!4m5!3m4!1s0x8807acc6ec542427:0x8e97163cfd1719a0!8m2!3d43.0722638!4d-89.4110137"
-city_state_zip: "Madison, WI 53706"
+room: "Oak Ridge National Laboratory"
+address: "1 Bethel Valley Road"
+google_map: "https://goo.gl/maps/TEF15a3HJ7wUUeba9"
+city_state_zip: "Oak Ridge, TN 37831"
 services:
+    email: [email protected]
     github: stompsjo
     linkedin: jordan-stomps-556912b8
+    orcid: 0000-0001-7811-4479
+    scholar: TD8qHhkAAAAJ&hl
 ---
 
+## Biography
+
+Jordan’s research focuses on machine learning applications to nuclear
+nonproliferation. In particular, he is using gamma radiation measurements
+collected for the NNSA NA-22 Multi-Informatics for Nuclear Operations
+Scenarios testbed at Oak Ridge National Laboratory to train models
+capable of detecting shielded radiological material transfers.
+State-of-the-art artificial intelligence techniques require large volumes
+of labeled data to train a successful model. Characterizing radiation
+data often involves manual analysis by subject-matter experts which is
+time consuming, resource intensive, and unfeasible for leveraging machine
+learning. Jordan is addressing this by using semi-supervised machine
+learning to utilize labeled and unlabeled radiation measurements to design
+models that can be used for more informed decisions and resource
+efficiency in nuclear security. His research is supported by the NNSA
+Consortium for Enabling Technology and Innovation (ETI) under the
+computer and engineering sciences for nonproliferation thrust. Originally
+from Detroit, Jordan spends his free time gardening and cooking with his
+wife, daughter, and dog.
+
+For more information on recent research, please review [this publication](https://www.mdpi.com/2673-4362/4/3/32).
+
 ## Research Interests
 
 
- * Gen. IV Nuclear Reactors
- * Computational Modeling Methods
+ * Semi-Supervised Machine Learning
+ * Nuclear Nonproliferation
+ * Artificial Intelligence
+ * Data Science and Analysis
  * Fuel Cycle Analysis
+ * Scientific Computing
+ * Radiation Detection
+ * Anomaly Detection
 
 ## Education
 
 
  * University of Wisconsin, Madison, WI [PhD. Graduate Student, Nuclear Engineering & Engineering Physics]
+ * University of Wisconsin, Madison, WI [M.S. Nuclear Engineering & Engineering Physics, 2021]
  * Michigan State University, East Lansing, MI [BS Physics, 2019]