diff --git a/CITATION.cff b/CITATION.cff
index 52f51e19..d86c4380 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -47,6 +47,10 @@ authors:
     given-names: Liang
     orcid:  https://orcid.org/0000-0002-4442-4679
 
+  - family-names: Yılmaz
+    given-names: Doğa
+    orcid:  https://orcid.org/0000-0002-2268-7136
+
 title: "Odak"
 version: 0.2.4
 doi: 10.5281/zenodo.5136406
diff --git a/THANKS.txt b/THANKS.txt
index fdbb10c7..e727f294 100644
--- a/THANKS.txt
+++ b/THANKS.txt
@@ -9,3 +9,4 @@ Runze Zhu
 Yujie Wang
 Yuta Itoh
 Ziyang Chen
+Doğa Yılmaz
\ No newline at end of file
diff --git a/odak/learn/models/models.py b/odak/learn/models/models.py
index 3ecb2c42..766b2e8d 100644
--- a/odak/learn/models/models.py
+++ b/odak/learn/models/models.py
@@ -59,7 +59,6 @@ def forward(self, x):
         return result
 
 
-
 class unet(torch.nn.Module):
     """
     A U-Net model, heavily inspired from `https://github.com/milesial/Pytorch-UNet/tree/master/unet` and more can be read from Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. "U-net: Convolutional networks for biomedical image segmentation." Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer International Publishing, 2015.
@@ -158,4 +157,3 @@ def forward(self, x):
         result = self.outc(x_up)
         return result
 
-