🤖🔬🧬 Multimodal Generative AI Researcher
New York, NY
See my CV for more info141.7KB
About Me
- 👋 I’m a PhD-trained AI/ML expert who can find novel and creative solutions for text-to-image problems. I enjoy asking new questions and redefining existing ones.
- 🧬 🎨 📸 My specialty is applying machine learning to microscopy and medical imaging, where I use physics and biology to deal with data challenges. I’m also curious about exploring new domains and pushing the limits of machine learning.
- 🤖 Fun fact: I love transformers (the models, not the movies).
Selected Research
See my Google Scholar page for a full list of publications.
Toto 2.0: Time Series Forecasting Enters the Scaling Era
Toto 2.0: Time Series Forecasting Enters the Scaling Era
arXiv
Transformers
2026
This Time is Different: An Observability Perspective on Time Series Foundation Models
This Time is Different: An Observability Perspective on Time Series Foundation Models
NeurIPS
Transformers
2025
Toto: Time Series Optimized Transformer for Observability
Toto: Time Series Optimized Transformer for Observability
arXiv
Transformers
2024
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
CVPR Workshop on Efficient Large Vision Models
CNNsDiffusion ModelsMultimodal
2024
CELL-E 2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
CELL-E 2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
NeurIPS
TransformersMultimodal
2023
CELL-E: Zero-Shot Sequence-to-Image Synthesis for Protein Localization Prediction
CELL-E: Zero-Shot Sequence-to-Image Synthesis for Protein Localization Prediction
RECOMB
TransformersMultimodal
2024
Image denoising for fluorescence microscopy by supervised to self-supervised transfer learning
Image denoising for fluorescence microscopy by supervised to self-supervised transfer learning
Optica
CNNsComputer Vision
2021
Experimental Determination of Activation Energy of Nucleophilic Aromatic Substitution on Porphyrins
Experimental Determination of Activation Energy of Nucleophilic Aromatic Substitution on Porphyrins
ACS, Journal of Chemical Education
Computer Vision
2017
‣
Experience
‣
Education
‣
Skills
‣
Media Features
‣
