Siddharth Nayak, Ph.D.

NY, NY *****

Phone: +1-347-***-****

Email address: ad3yq6@r.postjobfree.com

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Summary

■ Highly motivated cognitive neuroscientist with strong neuroimaging experience and 5 years of expertise performing signal and image processing and reconstructing MRI images for addressing computational hypotheses, leading to 1000+ image reconstructions and 7+ conference abstracts.

■ Led the development and fulfillment of projects related to functional and structural MRI, PET imaging to solve fundamental issues about brain processes, leading to 3 successfully completed projects and 7 discoveries in cognitive neuroscience involving software like SPM, Freesurfer, FSL, AFNI, Nilearn.

■ Astute communication and presentation skills to simplify complex concepts and convey it comprehensively across diverse populations as evidenced by 14+ presentations, 5+ invited talks and grant funding of over 4 million Taiwan dollars. Work Experience

R&D and Project Management Expertise in Neuroscience Gained as a Postdoctoral Research Associate, Weill Cornell Medicine, New York 06/2021 to Present Postdoctoral Research Fellow, National Taiwan University (NTU), Taiwan 09/2020 to 05/2021

■ Ability to interface with a scientific team and to assist in the handoff of technical information leveraging 5+ years of deep expertise in coding and programming in Python, R, and MATLAB, which includes manipulating, analyzing, and visualizing data, as demonstrated by working on 30+ data analysis and statistical methods in EEG/fMRI/PET spanning over 10 different software packages including SAS and SPSS.

■ Project management expertise in designing data visualizations (matplotlib/seaborn/ggplot) and creating intuitive figures in a cross-functional setting demonstrated by 14 poster presentations and 8 scientific publications to communicate scientific findings to broad audiences.

■ An expert innovator with cross-functional collaborations with neuroscientists and engineers to develop innovative products and powerful analyses of large-scale image & time-series data as evidenced by the innovation of 5 methodologies and 2 cross-functional collaborations.

■ Ability to manage projects and priorities, leading external neuroscience data analysis collaborations in industry and academia, resulting in 6+ successfully executed projects.

■ Facilitated integration of new data processing algorithms into existing software products, as evidenced by obtaining 7 travel grants and 2 fellowship awards for cognitive neuroscience and imaging. Imaging Expertise, Cross-functional Collaboration, and Scientific Leadership Siddharth Nayak, Ph.D.

Gained as a Ph.D. researcher at National Cheng Kung University and Academia Sinica 09/2014 – 05/2020

■ Experience working with multi-disciplinary teams creating and building exploratory analyses and reports on novel and existing algorithms for analysis of high dimensional brain activity and animal behavior datasets, resulting in 9 awards.

■ Dedicated project manager who contributes to cross-departmental teams and can lead team members in the practical application of neuropsychology in a commercial R&D setting, as evidenced by 50+ pipeline analyses, including 20+ EEG analysis pipelines and 10+ fMRI analysis pipelines.

■ Scientific leader with expertise connecting insights from analysis of brain imaging data to biological meaning and designing experimental and scientific direction for future studies leading to discoveries presented at 14 poster presentations, including a presentation at the SFN conference on computational neuroscience.

■ Experience in statistical design and analysis of observational studies by combining different neuroimaging

(like EEG) and biomedical signals (like EKG and EMG) to drive scientific innovation and build reusable analytic pipelines leading to co-authored scientific publications and a book chapter on heart rate variability (HRV).

■ Exceedingly curious about machine learning and deep learning methods to engage in real-world applications, as demonstrated by completing an online certificate from MIT, which used Tensorflow and PyTorch, and a co-authorship in a peer-reviewed journal article in a collaborative project in neurodegeneration prediction. Education

Ph.D. in Interdisciplinary Neuroscience with a focus on the usage of non-invasive tools like Electroencephalography and functional MRI to investigate response inhibition. Techniques, Technical Skills & Documentation

EEG

fMRI

PET

Time series analysis

Graph theory

Single-trial regression

Brain Networks

Cognitive Psychology

Heart rate variability

MATLAB

SPSS

Python

Presentation Skills

Data Analysis

Collaboration Skills

Technical Writing

Project Management

People Management

Affiliations, Awards & Hobbies

■ Recipient of a FENS, IBRO-PERC and The Brain Prize stipend of 1,000€ in connection with participation to the Brain Conference on Dynamics of the brain: temporal aspects of computation

■ Winner of the 2020 Poster Competition held at the Institute of Statistical Science, Academia Sinica (60,000 NTD)

■ Received funding from the Ministry of Science of Technology (MOST) Taiwan to attend APS 2018 (40,000 NTD)

■ Hobbies include cooking, reading books, watching movies, and playing badminton. Publication list

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