I enjoy solving complex yet meaningful problems to improve the way people live their lives.
- 🔥 Working on AI, health wearables, and neurotech
- 🎓 AI @ Carnegie Mellon
- 🇺🇦 Born and raised in Ukraine
| Name | Tech | Link |
|---|---|---|
| [2024] Improving SSVEP BCI Spellers with Data Augmentation and Language Models - Accepted to IEEE DSP 2025 | EEG brain signal processing, data augmentations, EEGNet, language modeling, RNN | ArXiv · GitHub |
| [2024] Decoding EEG Speech Perception with Transformers and VAE-based Data Augmentation | EEG and EMG brain signal processing, CNN, Transformers, VAE | ArXiv · GitHub |
| [2024] Brain and Stimulus Alignment | EEG brain signal and audio data pre-processing, Wav2Vec and CLIP model embedding, transformer-based model training and fine-tuning | Not available |
| [2024] CortexType - Typing with Your Mind | Real-time EEG brain signal processing from g.tec Unicorn EEG device, ML and LLM-based model training and fine-tuning, real-time inference, Python, PyTorch, PhysioLabXR BCIs, Unity XR App, scikit-learn | GitHub |
| [2023-2024] Brain-to-Speech Decoding | EEG brain signal pre-processing, transformer-based models training, Python, PyTorch | GitHub |
| [2024] AI for Human Trafficking Prevention | Images pre-processing, multimodal model training (LLaVA, Qwen-VL-Chat), prompt-engineering, LoRA/QLoRA fine-tuning, Python, PyTorch, scikit-learn | Not available |
| [2024] AI Governance for Neurotech Devices | AI risks assessment of Emotiv MN8 EEG earbuds according to NIST AI Risk Management Framework and EU AI Act | Poster |
| [2024] FMRI Encoding Models for Natural Speech | FMRI brain signal pre-processing, GPT2 word tokenization, ridge regressions, RSA matrices, Python, Pycortex, scikit-learn | GitHub |
| [2024] Brain Encoding Models using Taskonomy | FMRI brain signal and images data pre-processing, task representations w/ visualpriors, RSA and correlation matrices, Python | GitHub |
| [2024] Building and Evaluating AI PolicyChatbot | LLaMA-7B model prompt-engineering, LoRA/QLoRA fine-tuning, Python, PyTorch | GitHub |
| [2024] Stock Price Prediction and GameStop Short Squeeze Analysis | Financial and text data pre-processing, sentiment analysis, time-series forecasting w/ LSTM models, sensitivity analysis, Python, TensorFlow | GitHub |
| [2023] Human-Computer Interaction for Health Tech | User interviews, affinity diagram, stakeholder and customer journey maps, lo-fi and hi-fi prototyping w/ Figma, usability testing | Not available |
| [2023] Attention-based Speech Recognition | Audio data pre-processing, coding CNN- and transformer-based encoder-decoder models from scratch, model training and fine-tuning, Python, PyTorch | Not available |
| [2023] CNN-LSTM Phoneme-level Speech Classifications | Audio data pre-processing, CNN-based feature extraction, coding LSTM/pBLSTM from scratch, CTC loss training, beam search decoding, Python, PyTorch | Not available |
| [2023] Face Classification and Verification w/ CNNs | Images data pre-processing, coding ResNet and ConvNeXt from scratch, contrastive loss training, Python, PyTorch | Not available |
| [2023] Phoneme-level Speech Classification w/ MLPs | Audio data pre-processing (melspectograms), MLP classifier coding, training, and hyper-params tuning, Python, PyTorch | Not available |
| [2023] Predicting Health Outcomes w/ Personal Trackers | Experiment design, data querying from personal Apple Watch and behavioral apps, EDA, ML modeling w/ Python, scikit-learn | Not available |
| [2022] Health Trends of the Americans' Next Generation | Data querying w/ SQL, data cleaning, analysis, and visualization w/ Python, matplotlib, and seaborn | Not available |