Hello! I'm Seyhmus.
I am a senior data scientist at Recursion, working on computational tools to improve drug discovery process. I have a Ph.D. in electrical engineering from Northeastern University, where I studied ways to more effectively stimulate human brain non-invasively. I have more than 5 years of postdoctoral reserch experience in functional neuroimaging (fMRI, MRI). I am from Mardin, Turkey.
I have always been passionate about health and advancing medical research to improve quality of life. Cumulatively, I have spent more than 14 years years working on health-related projects and feel lucky that I have found a career that aligns with my passion. Over those years I have deepened my understanding of neuroimaging, bioelectrical signals and brain stimulation, and early drug discovery process while seeking answers to challenging mathematical modeling, data science, and statistical questions in these topics.
Skills and Interests
Programming languages
- Python
- Matlab
- Bash
- R
- C++
- Web development
Neuroimaging data analysis
- FSL
- fMRIPrep
- CONN
- NiPy
- BIDS
- FreeSurfer
- GIFT
- ANTs
- SPM
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), Snowboarding, Climbing, 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
| 2024 – Present | Senior data scientist, Recursion, Salt Lake City, UT |
| 2022 – 2024 | 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.
