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Paweł Liskowski Email & Phone Number

Senior Research Scientist at Snowflake at Snowflake
Location: Lugano, Ticino, Switzerland 5 work roles 3 schools
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Current company
Snowflake
Role
Senior Research Scientist at Snowflake
Location
Lugano, Ticino, Switzerland
Company size
2295 employees

Who is Paweł Liskowski? Overview

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Quick answer

Paweł Liskowski is listed as Senior Research Scientist at Snowflake at Snowflake, a company with 2295 employees, based in Lugano, Ticino, Switzerland. AeroLeads shows a matched LinkedIn profile for Paweł Liskowski.

Paweł Liskowski previously worked as Senior Research Scientist at Snowflake and Research Scientist at Nnaisense. Paweł Liskowski holds Doctor Of Philosophy (Phd), Computer Science, A+ from Poznan University Of Technology.

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Profile bio

About Paweł Liskowski

I am a passionate computer scientist specializing in the field of machine learning. My primary focus lies in developing intelligent solutions for complex industrial problems that often outperform traditional engineering approaches in delivering satisfactory outcomes.The core of my interests revolves around various flavors of neural networks. I particularly enjoy combining bio-inspired learning paradigms into powerful hybrid learning algorithms. My current research focuses on deep learning, with an emphasis on computer vision and natural language processing.I have extensive experience in the practical applications of machine learning methods to real-world problems, and I actively engage in industry-driven challenges. My skill set encompasses robust algorithmic design and advanced problem-solving techniques. I prioritize code quality and strive for thorough and reproducible experimental evaluation.

Listed skills include Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, and 14 others.

Current workplace

Paweł Liskowski's current company

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Snowflake
Snowflake
Senior Research Scientist at Snowflake
san mateo, california, united states
Website
snowflake.net
Employees
2295
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5 roles · 16 years

Paweł Liskowski work experience

A career timeline built from the work history available for this profile.

Senior Research Scientist

Current
Snowflake
Jul 2023 - Present

Research Scientist

Nnaisense

Ticino, Switzerland

- Conducting research in neural networks and deep learning- Conducting research in reinforcement learning and evolutionary computation- Applying machine learning to industrial process inspection, modelling, and control- Development of machines learning software, algorithms and tools

Jan 2019 - Jul 2023

Research Assistant

Poznan University Of Technology

Poznań, woj. Wielkopolskie, Polska

Researcher in the field of ​​machine learning at the Laboratory of Intelligent Decision Support Systems, Institute of Computing Science. Member of the Computational Intelligence Research Group.

2012 - 2018 ~6 yrs

Software Engineer

Naviexpert

Poznań, woj. Wielkopolskie, Polska

Member of research and development team, worked on innovative traffic technologies, responsible for implementation and maintenance of core server-side navigation system components.

2010 - 2013 ~3 yrs
Team & coworkers

Colleagues at Snowflake

Other employees you can reach at snowflake.net. View company contacts for 2295 employees →

JL Julien Le Julien Le Colleague at Snowflake Paris, Île-de-France, France, France View → AC Alexander Centenari Alexander Centenari Colleague at Snowflake Greater Boston, United States View → US Urjeet Shrestha Urjeet Shrestha Colleague at Snowflake Seattle, Washington, United States, United States View → UL Umesh Lashkar Umesh Lashkar Colleague at Snowflake Pune, Maharashtra, India, India View → TM Till Merker Till Merker Colleague at Snowflake Sandhausen, Baden-Württemberg, Germany, Germany View → SK Sarath Kumar Sarath Kumar Colleague at Snowflake Abu Dhabi Emirate, United Arab Emirates, United Arab Emirates View → VY Venkatesh Yarramsetti Venkatesh Yarramsetti Colleague at Snowflake Leeds, England, United Kingdom, United Kingdom View → SA Shachar Aviv Shachar Aviv Colleague at Snowflake Amsterdam, North Holland, Netherlands, Netherlands View → RC Raveena Chhabra Raveena Chhabra Colleague at Snowflake Pune, Maharashtra, India, India View → SM Stephen Murphy Stephen Murphy Colleague at Snowflake Auckland, Auckland, New Zealand, New Zealand View →
3 education records

Paweł Liskowski education

Doctor Of Philosophy (Phd), Computer Science, A+

Poznan University Of Technology

PhD thesis: "Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems" Defended with honors.

Master Of Science (Msc), Computer Science, A+

Poznan University Of Technology

Master thesis: "Co-evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation". Graduated with honors.

FAQ

Frequently asked questions about Paweł Liskowski

Quick answers generated from the profile data available on this page.

What company does Paweł Liskowski work for?

Paweł Liskowski works for Snowflake.

What is Paweł Liskowski's role at Snowflake?

Paweł Liskowski is listed as Senior Research Scientist at Snowflake at Snowflake.

Where is Paweł Liskowski based?

Paweł Liskowski is based in Lugano, Ticino, Switzerland while working with Snowflake.

What companies has Paweł Liskowski worked for?

Paweł Liskowski has worked for Snowflake, Nnaisense, Poznan University Of Technology, and Naviexpert.

Who are Paweł Liskowski's colleagues at Snowflake?

Paweł Liskowski's colleagues at Snowflake include Julien Le, Alexander Centenari, Urjeet Shrestha, Umesh Lashkar, and Till Merker.

How can I contact Paweł Liskowski?

You can use AeroLeads to view verified contact signals for Paweł Liskowski at Snowflake, including work email, phone, and LinkedIn data when available.

What schools did Paweł Liskowski attend?

Paweł Liskowski holds Doctor Of Philosophy (Phd), Computer Science, A+ from Poznan University Of Technology.

What skills is Paweł Liskowski known for?

Paweł Liskowski is listed with skills including Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Evolutionary Computation, Pattern Recognition, Reinforcement Learning, and Genetic Programming.

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