Özgeçmişim

Deneyim

24/05/2026 – Günümüz

Freelance Araştırmacı, Analist & Danışman, Kendi işim [AT]

  • Yapay zeka modellerinin eğitimi ve geliştirilmesi amacıyla yapay zeka çıktılarını analitik olarak inceliyorum ve rapor yazıyorum
  • Kullanıcı deneyimi senaryoları ile web uygulamalarını analiz edip geliştirme önerileri sunuyorum
  • Müşteri ilişkilerini doğrudan yönetiyorum ve iş sürekliliğini sağlıyorum

01/10/2014 – Günümüz

Proje yöneticisi & UX/UI tasarımcısı, Düşünbil [TR]

  • Beşeri bilimler ve bilim alanlarına odaklanan yayın faaliyetleri için editöryel iş akışlarını geliştiriyorum, içerik seçimi ve dağıtım stratejilerini iyileştiriyorum
  • Beşeri bilimler ve bilim alanlarında disiplinlerarası konularda, akademik bilginin kamuyla etkileşimini güçlendirmek amacıyla, 50’den fazla konferans organize ediyorum
  • Eğitim içeriklerine erişimi artıran ve kurumun görünürlüğünü genişleten dijital bir platform tasarladım, hayata geçirdim ve bakımını yapıyorum

01/09/2020 – 31/08/2025

Proje çalışanı (Avusturya Bilim Fonu), UniGraz [AT]

  • Algısal geçişleri incelemek amacıyla 150’den fazla katılımcı ile davranışsal deneyler tasarlayıp yürüttüm
  • R ve MATLAB kullanarak otomatik veri ön işleme hatları geliştirdim ve uyguladım
  • Açık bilim uygulamaları ve veri paylaşımı girişimlerinde disiplinlerarası ekiplerle iş birliği yaptım

01/10/2019 – 31/03/2020

Stajyer, EPFL [CH]

  • Önceki görsel deneyimlerin mevcut algı üzerindeki etkisini araştırmak amacıyla 21 katılımcıdan EEG verisi ön işleme ve analizini MATLAB kullanarak gerçekleştirdim
  • Davranışsal ve sinirsel veriler arasındaki ilişkiyi göstermek için makine öğrenmesi yöntemi (SVM) uyguladım

05/09/2016 – 25/07/2019

Araştırma asistanı, Bilkent Üniversitesi [TR]

  • Korku temalı duygusal uyarıcıların görsel algı üzerindeki etkisini incelemek için MATLAB kullanarak 6 katılımcıyla fMRI deneyi tasarladım ve yürüttüm
  • fMRI verilerini FreeSurfer ve SPM kullanarak ön işleme yaptım ve SamSrf aracıyla analiz ettim

01/10/2014 – 15/07/2015

Öğrenci asistanı, ODTÜ [TR]

  • Fibromiyaljide motor bozukluk ve duyusal algı ilişkisini inceleyen bir doktora projesinde 30 katılımcı ile fNIRS beyin görüntüleme deneylerinde asistanlık yaptım
  • Motor korteks aktivasyonunu belirlemek amacıyla nörogörüntüleme verilerini istatistiksel yöntemlerle Excel kullanarak analiz ettim

30/06/2014 – 08/08/2014

Stajyer, SenteGen [TR]

  • Müşterilere belirlenen sürede DNA primerleri ürettim
  • Ar-Ge projesi kapsamında yeni bir terminal transferaz enzimi üretiminde rol aldım

Akademik geçmiş

23/03/2021 – 09/07/2026

Psikoloji, PhD, Graz Üniversitesi [AT]

Avusturya’nın en büyük üniversitelerinden biri, CGPA: 1.00/1.00

05/09/2016 – 25/07/2019

Sinirbilim, MSc, Bilkent Üniversitesi [TR]

Türkiye’nin en iyi 3 araştırma üniversitesinden biri, CGPA: 3.86/4.00

03/09/2009- 13/06/2015

Moleküler biyoloji ve genetik, BSc, ODTÜ [TR]

Türkiye’nin en iyi 5 üniversitesinden biri, CGPA: 2.80/4.00


Aldığım eğitimler

Microsoft Learn for Educators (MSLE) AI Technical Foundations Bootcamp, ETC (2026)

Google Prompting Essentials Specialization, Google (2025)

Almanca B1.1, treffpunkt sprachen, Graz Üniversitesi (2025)

Veribilimi için Pitonla Veritabanları ve SQL, IBM (2024)

Doktora Akademisi Aktarılabilir Beceriler Sertifikası, Graz Üniversitesi (2023)

İngilizce Ders Anlatımı: Öğretim Dili olarak İngilizce, Graz Üniversitesi (2023)

Piton Veri Yapıları, Michigan Üniversitesi (2022)

Herkes için Programlama (Piton ile Başlangıç), Michigan Üniversitesi (2021)

R ile Yazılım Geliştirme Uzmanlığı Sertifikası, Johns Hopkins Üniversitesi (2021)

Psikolojiye Giriş, Toronto Üniversitesi (2021)

Visual Perception and Visual Illusions, Saint Petersburg State Üniversitesi (2021)

Lacanyen psikanaliz eğitimi, Uluslararası Lacanyen Birliği (A.L.I.) ve Düşünbil Akademi (2016)


Uzmanlık alanları

  • Akademik yazım, proje yönetimi ve bilimsel sunum
  • Uluslararası akademik süreçler, yurtdışında eğitim ve araştırma
  • Görsel algı ve bilişsel sinirbilim
  • Deneysel tasarım ve veri analizi (R, MATLAB)
  • Kullanıcı deneyimi araştırması ve veri bilimi

Akademik sunumlar

2024 | 53rd DGPs Congress/15th ÖGP Conference

Transitions during binocular rivalry vary in appearance across stimulus types
Yilmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
16.09.2024, Vienna, Austria. https://dgps2024.univie.ac.at/home-news/

2023 | Trieste Symposium on Perception and Cognition

Variety of transition appearance during binocular rivalry
Yılmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
27.10.2023, Trieste, Italy. https://sites.units.it//bernardis/symposium2023.html

2023 | Complexity of Life in Basic Research and Innovation (COLIBRI)

The potential of NLP methods in categorizing verbal descriptions of subjective experience during binocular rivalry task
Yılmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
27 & 28.02.2023, University of Graz, Graz, Austria. https://colibri.uni-graz.at/en/

2017 | Algı, Hareket ve Kontrolü Çalıştayı

Fibromyaljide Motor Kayıp
Yılmaz, Cemre; Eken, Aykut; Gökçay, Didem; Baskak, B.; Baltacı, A.; and Kara, Murat.
15.12.2017. at the Neuropsychiatry of Education Research and Application Center, Gazi University, Ankara, Turkey.

Halka açık sunumlar

2024 | 3 Minute Thesis Competition

How do we form mental images?
Yılmaz, Cemre. 
15.03.2024, Graz, Austria. Video


Sunduğum posterler

08/2026 | 48th European Conference on Visual Perception (ECVP)

Transitions in binocular rivalry qualitatively change with age
Yılmaz, Cemre; Jellen, Tamara; Gerschütz, Maximilian; Bartels, Andreas; and Zaretskaya, Natalia.
24.08.2026, Bournemouth, UK. https://ecvp2026.uk/index.html

2024 | 2nd INGE St. Day (Stirya Beyin Araştırmaları Girişimi)

What influences our perception? Study of perceptual transition during binocular rivalry
Yılmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
02.12.2024, Graz, Austria. https://gehirnforschung.at/2024/12/09/2-inge-st-tag-2024/

2023 | 45th European Conference on Visual Perception (ECVP)

Transitions during binocular rivalry vary in appearance across stimulus types
Yılmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
30.08.2023, Paphos, Cyprus. Perception

2023 | 1st INGE St. Day (Stirya Beyin Araştırmaları Girişimi)

Transitions during binocular rivalry vary in appearance across stimulus types
Yılmaz, Cemre; Pabel, Laura; Kerschenbauer, Elias; Ischebeck, Anja; Sipatchin, Alexandra; Bartels, Andreas; and Zaretskaya, Natalia.
19.06.2023, Graz, Austria. https://gehirnforschung.at/2023/06/21/1-inge-st-tag-2023/

2019 | Ulusal Sinirbilim Kongresi (USK)

The Effect of Negative Emotions on Functional Activity of Human Visual Cortex
Yılmaz, Cemre; Erkat, O. Batuhan; and Boyacı, Hüseyin.
Trabzon, Turkey: Anatomysee poster

Katkıda bulunduğum posterler

2022 | Vision Sciences Society (VSS)

Estimating receptive field profiles of specific visual fields
Erkat, O.Batuhan; Erişen, Dilara; Yılmaz, Cemre; Yıldırım, Funda; and Boyacı, Hüseyin.
13-18.05.2022, St. Pete Beach, Florida, USA. Journal of Vision.

2017 | Organization of Human Brain Mapping (OHBM) Annual Meeting

Analyzing Hand Preference in Self-Guided Non-Painful Tactile Stimulation for FM patients: an fNIRS Study
Eken, Aykut; Gökçay, Didem; Topçu, Cemre; Baltacı, A.; Baskak, B.; Baltacı, M.; and Kara, Murat.
25-29 June 2017, Vancouver Convention Centre, Vancouver, Canada.

2015 | Medical Technologies National Conference (TIPTEKNO)

Classification of fibromyalgia syndrome by using NIRS signals
Eken, Aykut; Gökçay, Didem; Topçu, Cemre; Baltacı, A.; Baskak, B.; and Baltacı, Murat.
15-18.10.2015, Bodrum, Muğla, Turkey: IEEEsee poster


Araştırma projeleri

Phenomenology of Transitions in Binocular Rivalry

Ph.D. thesis under the supervision of Natalia Zaretskaya, Ph.D., Visual Neuroscience Lab, University of Graz, AT

09/2021 – Present

Binocular rivalry occurs when two eyes are presented with two different images that cannot be fused into each other as a uniform perception. As a result, the subject has a perception alternating between the dominant image of either of the presentations with a transition phase. The studies on the phenomenology of binocular rivalry showed that several features of stimuli, such as contrast, luminance, and content, affect the dominance duration and the frequency of transition, whereas different perceptual transitions have been reported, including traveling wave, superimposed, piecemeal, and transparency. Some recent studies also showed that the duration of transition during binocular rivalry can be correlated with some clinical conditions, such as ADHD and ASD. Despite the evidence for the various features of perceptual transition, there is no systematic investigation of all possible transition types and factors that affect transition appearance. The goal of this study is to define different transition types in binocular rivalry and the factors affecting them.

Inverted Encoding Model of Serial Dependence

Project intern under the supervision of David Pascucci, Ph.D., and Michael Herzog, Ph.D., Brain Mind Institute, Ecole polytechnique federale de Lausanne (EPFL), CH

10/2019 – 03/2020

Previous studies showed that prior experience has a positive effect on the current perception, such that the prior experience can lead to a bias towards perceiving the current stimulus as more similar to the previous stimulus than it actually is. This effect is known as serial dependence. To investigate the effect of serial dependence, 21 participants performed an orientation adjustment task. Behaviorally, an effect of serial dependence was shown in this experiment. I preprocess and analyze the EEG data that was previously collected. We model the orientation channels and serial dependence by using the paradigm of an inverted encoding model. Our next step will be to model the fMRI data for a similar model of serial dependence as we applied to EEG data.

Effect of Visual Stimuli with Fearful Emotional Cue on Population Receptive Field Estimates

M.Sc. thesis under the supervision of Hüseyin Boyacı, Assoc. Prof. Dr., Computational and Biological Vision Lab, Bilkent University, TR

10/2016-07/2019

It is known that the emotional state can affect visual perception, especially in the temporo-occipital cortex. The common approach of emotional studies on the visual system is the subtraction method for brain activity. I investigated the effect of emotional modulation on the low-level features of the visual system by using the population receptive field (pRF) estimation method, since it has been shown that its estimations were sensitive to the stimulus content. The advantage of the pRF method was to study on dynamic functionality of the visual system with a model-based approach. I hypothesized that stimuli with fearful content might affect the pRF sizes and locations in the visual cortex from the lowest level, V1, to the higher levels. Six participants performed voluntarily our 3-session fMRI experiment. I presented the simultaneous wedge and ring stimuli rendered with scrambled, neutral, and fearful images in three separate sessions separately and respectively. Then, I preprocessed data by using FreeSurfer and SPM, followed by the analysis with the SamSrf toolbox on MATLAB. Results showed the fearful content of stimulus might lead to increased pRF sizes as well as a shift in pRF centers toward the eccentric side in visual areas hV4 and V3A, as well as lower retinotopic regions: V1, V2, and V3. Hence, our findings showed that the fearful content of visual stimuli might have a modulatory effect on the visual system. This modulatory effect of emotion can facilitate visual perception by increasing position tolerance due to the increased pRF sizes.

Determination of Motor Cortex Location by using fNIRS

B.Sc. thesis under the supervision of Aykut Eken, Ph.D., and Didem Gökçay, ph.D., NeuroLab, Middle East Technical University (METU), TR

10/2014 – 07/2015

The motor cortex is one of the well-studied brain regions. I aimed to determine the motor cortex by using functional near-infrared spectroscopy (fNIRS). My thesis was a part of a Ph.D. project on the pain perception of fibromyalgia patients. We collected brain imaging data from 15 healthy individuals and 15 fibromyalgia patients while the participants were performing finger-tapping tasks (FTT). They were also applied median nerve stimulation (MNS) in a separate experimental condition for the Ph.D. project. I used basic MS Excel and statistics to analyse the data of the finger-tapping task to determine the location of the motor cortex. I defined the motor cortex successfully, and I also found some activations on the ipsilateral hemisphere, which indicated the inter-hemispheric interactions.

Further analysis of the data showed the difference in brain activities of healthy individuals and fibromyalgia patients. It is known that fibromyalgia syndrome includes motor control dysfunction besides allodynia. We found that fibromyalgia patients had lower hemodynamic activity on the bilateral superior parietal gyrus, left supramarginal gyrus, and right somatosensory cortex during the finger tapping (FTT) task, whereas they had higher activity on the bilateral superior parietal gyrus, right supramarginal gyrus, and right postcentral gyrus in response to the median nerve stimulation (MNS). Moreover, the correlation between FTT and MNS results indicated that the left superior parietal gyrus might play an important role in the association of fine motor loss and allodynia in fibromyalgia.


Yayınlar


Diller & Teknik beceriler

  • Türkçe (ana dil)
  • İngilizce (ileri)
  • Almanca (temel iletişim)
  • R ve MATLAB (ileri), Python ve SQL (orta düzey)