プロフィール詳細

プロジェクトを作成

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Natalia B.に依頼

Poland

Neuroscientist Turned Career & Biz Advisor, Helping Individuals & Teams Navigate, Build Value & Subvert All Expectations

プロフィール概要

I am a Neuroscientist by Education. In 2019, I developed Ontology of Value®, an R&D and Education company helping professionals with growth mindset in self-navigating in the job market and assisting businesses by building synergistic, happy teams. I authored books "What Is out There For Me? The Landscape of Post-PhD Career Tracks" and "How To Self-Navigate in the Job Market and Shine in the Job Interviews." I write two blogs focused on the job market, culture, self- and business development. I also offer consultancy to startups, institutions, and VC firms as a Business Advisor and/or Research Consultant. I'm skilled at Business Intelligence. I specialize in optimizing human resources using AI & ML tools and building synergistic teams. I am also skilled at detecting scam, overvalued & unrealistic projects, suboptimal teams, and conceptual bottlenecks. I can save your business millions and spare your team years of work! MY PHILOSOPHY: I believe in the compatibility of science and business. I use my knowledge in Neuroscience to better understand human resources and the evolution of the job market, and to develop new training programs. As summary, I am a "full-stack" Career & Business Advisor. With a PhD in Computational Neuroscience, I use my analytical mind and knowledge about the brain and psychology combined with empathy to understand my customers, build innovative tools for self-navigating in the market, and solve complex business cases. I work at flat hourly rates, or, exceptionally, for shares in the project.

専門分野

• ☆ Neuroscience
• ☆ Computational Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Human Resources
• ☆ Recruitment & Staffing
• ☆ Employee Training
• ☆ Career Counseling
• ☆ Business Operations
• ☆ Business Strategy
• ☆ Small Business
• ☆ Entrepreneurship
• ☆ Business Intelligence
• ☆ Innovation Management
• ☆ Public Relations

サービス

• Research
• Consulting

Research Market Research

Consulting Business Strategy Consulting, Go-to-Market Strategy Consulting, Digital Strategy Consulting, Operations Consulting, Scientific and Technical Consulting

職務経験

Owner

Ontology of Value

7月 2019 - 現在

PhD candidate

Radboud University Nijmegen Medical Centre

10月 2013 - 現在

学歴

Master of Science in Medical Physics (Faculty of Physics)

University of Warsaw

10月 2004 - 9月 2012

Young Master of Business Administration

Warsaw School of Economics

6月 2011 - 9月 2011

Young Master of Business Administration

Warsaw School of Economics

6月 2011 - 9月 2011

Master of Science in Mathematics (Faculty of Mathematics)

University of Warsaw

10月 2004 - 7月 2010

Master of Arts in Psychology (Faculty of Psychology)

University of Warsaw

10月 2004 - 2月 2010

認定資格

• Young Master of Business Administration

  Warsaw School of Economics

  9月 2011 - 現在

出版物

JOURNAL ARTICLE

Sarvenaz Sarabipour, Sarah J. Hainer, Feyza Nur Arslan, Charlotte M. de Winde, Emily Furlong, Natalia Bielczyk, Nafisa M. Jadavji, Aparna P. Shah, Sejal Davla (2022). Building and sustaining mentor interactions as a mentee . The FEBS Journal.

Sarvenaz Sarabipour, Sarah J. Hainer, Emily Furlong, Nafisa M. Jadavji, Charlotte M. Winde, Natalia Bielczyk, Aparna P. Shah (2022). Writing an effective and supportive recommendation letter . The FEBS Journal.

Veronika Cheplygina, Scott Markel, Felienne Hermans, Casper Albers, Natalia Bielczyk, Ionica Smeets (2020). Ten simple rules for getting started on Twitter as a scientist . PLOS Computational Biology.

Marein Könings, Mark Blokpoel, Katarzyna Kapusta, Tom Claassen, Jan K. Buitelaar, Jeffrey C. Glennon, Natalia Z. Bielczyk (2019). Quantifying free behaviour in an open field using k-motif approach . Scientific Reports.

Natalia Bielczyk, Michele Veldsman, Ayaka Ando, Chiara Caldinelli, Meena M. Makary, Aki Nikolaidis, Marzia A. Scelsi, Melanie Stefan, AmanPreet Badhwar (2019). Establishing online mentorship for early career researchers: Lessons from the Organization for Human Brain Mapping International Mentoring Programme . European Journal of Neuroscience.

Natalia Z. Bielczyk, Gennady Cymbalyuk, Katarzyna Piskała, Martyna Płomecka, Piotr Radziński, Lara Todorova, Urszula Foryś (2019). Time-delay model of perceptual decision making in cortical networks . PLOS ONE.

Natalia Z. Bielczyk, Sebo Uithol, Tim van Mourik, Paul Anderson, Jeffrey C. Glennon, Jan K. Buitelaar (2019). Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches . Network Neuroscience.

Natalia Z. Bielczyk, Alberto Llera, Jan K. Buitelaar, Jeffrey C. Glennon, Christian F. Beckmann (2019). Increasing robustness of pairwise methods for effective connectivity in magnetic resonance imaging by using fractional moment series of BOLD signal distributions . Network Neuroscience.

Natalia Z. Bielczyk, Alberto Llera, Jan K. Buitelaar, Jeffrey C. Glennon, Christian F. Beckmann (2017). The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI . Brain and Behavior.

Urszula Foryś, Natalia Z. Bielczyk, Katarzyna Piskała, Martyna Płomecka, Jan Poleszczuk (2017). Impact of Time Delay in Perceptual Decision-Making: Neuronal Population Modeling Approach . Complexity.

PREPRINT

Kayson Fakhar, Dominic Gonschorek, Lisa Schmors, Natalia Z Bielczyk (2019). Neuronal Causes and Behavioural Effects: a Review on Logical, Methodological, and Technical Issues With Respect to Causal Explanations of Behaviour in Neuroscience .

Marein Könings, Mark Blokpoel, Katarzyna Kapusta, Tom Claassen, Jan K. Buitelaar, Jeffrey C. Glennon, Natalia Z. Bielczyk (2019). Quantifying free behavior in an open field using k-motif approach .

Jonathan Tennant, Natalia Z Bielczyk, Bastian Greshake Tzovaras, Paola Masuzzo, Tobias Steiner (2019). Introducing Massively Open Online Papers (MOOPs) .

Natalia Z. Bielczyk, Katarzyna Piskała, Martyna Płomecka, Piotr Radziński, Lara Todorova, Urszula Foryś (2018). Time-delay model of perceptual decision making in cortical networks .