Merge pull request #7 from rkotikalapudi/patch-1

Update raviteja-kotikalapudi.md

people/raviteja-kotikalapudi.md

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-# Raviteja Kotikalapudi
+# Raviteja Kotikalapudi
+
+::::{grid} 2
+
+:::{image} ../figures/raviteja-kotikalapudi.png
+:alt: Raviteja Kotikalapudi
+:width: 400px
+:align: left
+:::
+
+::: {card} I am particularly focused on developing predictive models and methodologies to better understand the connection between brain and behavior.
+
+github: [click-here](https://github.com/rkotikalapudi)
+:::
+
+::::
+
+## Timeline
+
+|                |                                                                       |
+| :------------: | :-------------------------------------------------------------------: |
+| **since 2021** |                       PostDoc, PNI-Lab, Germany                       |
+| **since 2021** |  Data Consultant, University of Goettingen, Germany (7.7 hours/week)  |
+| **2019-2021**  |                 PostDoc, University of Bern, Germany                  |
+| **2019-2021**  |  Data Consultant, University of Tuebingen, Germany (7.7 hours/week)   |
+| **2015-2019**  |             PhD Studies, University of Tuebingen, Germany             |
+| **2013-2014**  |                Senior Research Fellow, NIMHANS, India                 |
+| **2011-2012**  |     Research Assistant, University of Manchester, United Kingdom      |
+| **2010-2011**  | Master's in Medial Physics - University of Manchester, United Kingdom |
+| **2005-2009**  |    Bachelor of Technology - Biomedical Engineering, JNTU-K, India     |
+
+## Publications
+
+Click here for [_ALL_](https://scholar.google.com/citations?user=J4IiWQMAAAAJ&hl=en&oi=ao) publications. First/Last author publications are below:
+
+1. _On the replicability of diffusion weighted MRI-based brain-behavior models_, [Kotikalapudi et al, 2024](https://www.biorxiv.org/content/10.1101/2024.07.08.602202v1.abstract)
+2. _Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach_, [Kotikalapudi et al, 2023](https://pubmed.ncbi.nlm.nih.gov/37318027/)
+3. _Predictive modeling of optimism bias using gray matter cortical thickness_, [Kotikalapudi et al, 2023](https://www.nature.com/articles/s41598-022-26550-y#:~:text=We%20derived%20predictive%20models%20to,as%20age%2C%20sex%20and%20TIV.)
+4. _Whole brain white matter correlates of personality profiles predictive of subjective well-being_, [Kotikalapudi et al, 2022](https://www.nature.com/articles/s41598-022-08686-z)
+5. _Brain structure and optimism bias: a voxel-based morphometry approach_, [Kotikalapudi et al, 2022](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946158/)
+6. _Enhanced sensitivity to optimistic cues is manifested in brain structure: a voxel-based morphometry study_, [Aue et al, 2021](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599192/)
+7. _MP2RAGE multispectral voxel‐based morphometry in focal epilepsy_, [Kotikalapudi et al, 2019](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865377/)
+8. _Systematic Assessment of Multispectral Voxel-Based Morphometry in Previously MRI-Negative Focal Epilepsy_, [Kotikalapudi et al, 2018](https://pubmed.ncbi.nlm.nih.gov/30337431/)