Agnieszka Mikołajczyk

PhD Candidate & Machine Learning Enthusiast

Gdańsk University of Technology


PhD Agnieszka Mikołajczyk is an author of datasets, scientific papers, and publications, holding numerous scholarships and awards. She works on Large Language Models like the first Polish GPT model called TRURL. She is a co-organizer of PolEval2021 and PolEval 2022 tasks with punctuation prediction and restoration. She organizes and actively contributes to the scientific community in her free time: she managed and led the team during the HearAI project focused on modeling Sign Language (hearai.pl). A former organizer and a team leader at the open-source project detectwaste.ml. As an ML Expert, she supports the project “Susana” designed to detect and read product expiry dates to help the Blind “see”. Daily, she conducts her research on her grant “Detecting and overcoming bias in data with explainable artificial intelligence” Preludium, awarded by Polish National Centre (biasinml.netlify.app).


  • Explainable Artificial Intelligence
  • Image Analysis
  • Deep Learning


  • PhD in Machine Learning, 2017 - 2021

    Gdańsk University of Technology

  • MEng in Control Theory, 2016 - 2017

    Gdańsk University of Technology

  • BSc in Automation Control and Robotics, 2012 - 2016

    Gdańsk University of Technology



NLP Team Leader

VoiceLab.AI - Conversational Intelligence

Dec 2021 – Present Gdańsk, Poland
Project: A multimodal and multilingual platform for automatic replication of human-to-human communication, allowing for modeling of human-to-machine communication behavior.

Machine Learning Researcher

VoiceLab.AI - Conversational Intelligence

Mar 2020 – Nov 2021 Gdańsk, Poland
Deep Learning, NLP and Acoustics

Research Intern at Explainable Artificial Intelligence Center

Ulsan National Institute of Science and Technology

May 2019 – Jun 2019 Ulsan, South Korea

Research assistant

Gdańsk University of Technology

Jun 2018 – Present Gdańsk, Poland

Research Assistant and C++ Software Developer

Institute of Electrical Engineering

Jul 2014 – Nov 2016 Gdańsk, Poland

Junior Electromagnetic Compability Engineer

Institute of Electrical Engineering

Jul 2013 – Aug 2013 Gdańsk, Poland


Award for the best graduating thesis in innovative technologies

PL: Nagroda im. Prof. Romualda Szczęsnego

Young Author Best Paper Award

For an oral presentation: Data augmentation for improving deep learning in image classification problem



Detecting and Reducing Bias in Data

Currently, in contrast to shallow models exploited in the past, most deep learning systems extract features automatically, and to do …

DetectWaste and ClassifyWaste

The proposed classify-waste benchmark is a merged collection of publicly available datasets with eight classification labels. The …


Deaf people are affected by many forms of exclusion, especially now in the pandemic world. HearAI aims to build a deep learning …

Punctuation Restoration

Speech transcripts generated by Automatic Speech Recognition (ASR) systems typically do not contain any punctuation or capitalization. …

Tiny Hero - Generating pixel characters with GANs

Dataset TinyHero includes 64x64 retro-pixel character. All characters were generated with Universal LPC spritesheet by makrohn. Each …

Skin Lesion Classification

In the last twenty years the interest of automated skin lesion classification dynamically increased partially because of public …

Bird Song Classification

Sound-Based Bird Classification using Convolutional Neural Networks and Mel-Cepstrum Sepctrograms

Detect waste in Pomerania

Using detection models to localize and classify waste on images and video.


Hackathon. Let's do something for our environment.