Hello! I'm Seyhmus.
I am a data scientist at Recursion. I have a Ph.D. degree in electrical engineering from Northeastern University, and more than five years of postdoctoral reserch experience in neuroimaging. I am from Mardin, Turkey.
I specialize in (neuroimaging) data analysis and non-invasive brain stimulation, and have extensive experience in computer programming. I currently apply those skills to improve drug discovery process. I enjoy writing code and frequently do so (mostly in Python, Bash, R, and Matlab) as a hobby.
Skills and Interests
Programming languages
- Python
- Matlab
- Bash
- R
- C++
- Web development
Neuroimaging data analysis
- FSL
- fMRIPrep
- CONN
- NiPy
- BIDS
- FreeSurfer
- GIFT
- ANTs
- SPM
- Docker
Version control / Publication tools
- Git
- SVN
- GitHub
- Bitbucket
- LaTeX
- Microsoft Office
- Mendeley
Hands-on experience
Linux workstations, Computer clusters, Operating a Siemens MRI scanner, Stimulation/EEG data collection using a Neuroelectrics device
Languages
Hobbies
Dancing (Folk dancing, Salsa, Hip-hop), Racquetball (I onca became an intramural champion:)), Jump rope, Longboarding, Hiking, Soccer, Coding challenges, Chess
Disclaimer: Above scores are based on my self-assesment, and thus are subjective. Perhaps there is some Dunning–Kruger effect in some of them.
Download my one-page CV.
Experience
| 2022 – Present | Data scientist, Recursion, Salt Lake City, UT |
| 2020 – 2022 | Research fellow, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA |
| 2016 – 2020 | Research fellow, Computational Radiology Laboratory (CRL), Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA |
| 2016 – 2019 | Lecturer (part-time), Department of Electrical and Computer Engineering, Northeastern University, Boston, MA |
| 2011 – 2016 | Research assistant (Ph.D. candidate), Department of Electrical and Computer Engineering, Northeastern University, Boston |
Education
| 2011 – 2016 | Ph.D. in Electrical Engineering, Northeastern University, Boston Thesis title: Brain Stimulus Pattern Optimization Using Scalp and Cortical Electrode Arrays. Advisor: Dana H. Brooks. |
| 2006 – 2011 | B.Sc. in Electrical and Electronics Engineering, , Bilkent University, Ankara, Turkey |
| 2002 - 2006 | High school diploma, Izmir Science High School, Izmir, Turkey |
Awards and scholarships
| 2011–2016 | Graduate research assistantship (GRA), Northeastern University, Boston, MA |
| 2006–2011 | Full scholarship for undergraduate studies, Bilkent University, Ankara, Turkey |
| 2006 | 210th in National University Entrance Exam of Turkey (1.5 million students) |
| 2005 | 5th (Silver medalist) in 13th National Mathematics Olympiad, TUBITAK, Ankara |
| 2002 | 21st (Silver medalist) in 7th National Secondary School Mathematics Olympiad, TUBITAK, Ankara |
Tutorials
Coming soon!
Journal and Conference Papers
- Guler, S., Cohen, A. L., Afacan, O., & Warfield, S. K. (2021). Matched feedback during fMRI neurofeedback differentially activates reward-related circuits in active and sham groups. J Neuroimaging, 00, 1-9.
- Tu, Y., Cao, J., Guler, S., Zhang, T., Camprodon, J. A., Vangel, M., ... & Kong, J. (2021). Perturbing fMRI brain dynamics using transcranial direct current stimulation. NeuroImage, 118100.
- Guler, S., Erem, B., Cohen, A. L., Afacan, O., & Warfield, S. K. (2020, April). Dynamic Missing-Data Completion Reduces Leakage of Motion Artifact Caused by Temporal Filtering that Remains After Scrubbing. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE.
- Guler, S., Dannhauer, M., Roig-Solvas, B., Gkogkidis, A., Macleod, R., Ball, T., ... & Brooks, D. H. (2018). Computationally optimized ECoG stimulation with local safety constraints. NeuroImage, 173, 35-48.
- Yokota, T., Erem, B., Guler, S., Warfield, S. K., & Hontani, H. (2018). Missing slice recovery for tensors using a low-rank model in embedded space. In Proceedings of the IEEE conference on computer visionand pattern recognition (CVPR) (pp. 8251-8259).
- Guler, S., Dannhauer, M., Erem, B., Macleod, R., Tucker, D., Turovets, S., ... & Brooks, D. H. (2016,April). Optimizing stimulus patterns for dense array tDCS with fewer sources than electrodes usinga branch and bound algorithm. In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (pp. 229-232). IEEE.
- Guler, S., Dannhauer, M., Erem, B., Macleod, R., Tucker, D., Turovets, S., ... & Brooks, D. H. (2016). Optimization of focality and direction in dense electrode array transcranial direct current stimulation(tDCS). Journal of neural engineering, 13(3), 036020.
