Research
Leading the ML on SafeICP, which reads intracranial pressure from blood flow without surgery, and on Huawei's depth-aware video bokeh, which runs on a phone; supervising 2 PhD students and a postdoc
Experience
Core Positions
Leadership and engineering roles spanning AI, machine learning, data science, computer vision, and biomedical imaging across research and industry
Industry
Led an R&D group of 5 developers and researchers in AI, ML and agents, and served as the architect and lead engineer on the InsurTech systems it built for AmTrust, CNA, Lumos Insurance and GNP
Industry
Led 6 developers in ML and computer vision: tumor immune phenotyping for Boehringer Ingelheim, chromosomal instability for Volastra, and explainable chest radiography for Beth Israel
Research
Built hyperspectral ML that finds tumor margins and grades laser ablation for the ERC project LASER OPTIMAL, and turned prosthetic heart valve design into an optimization search
Senior Machine Learning Engineer
Intelerad Medical SystemsApr 2020 - Sep 20222 yrs 6 mos
Montreal • Canada 🇨🇦
Built ML on MRI and CT: de-identification running in Biospective's PACS, contrast classification and body part recognition for Bristol Myers Squibb, and medical text OCR
Senior Research Scientist
Tomsk Polytechnic UniversityMar 2016 - Aug 20226 yrs 6 mos
Tomsk • Russia 🇷🇺
Supervised 5 developers on stenosis detection running in live surgery and TAVI tracking for the Kemerovo Cardiology Center, and catheter segmentation in ultrasound for Boston Children's Hospital
Industry
Implemented, maintained and repaired process control systems and field instrumentation across petrochemical pipelines on Siemens PLC and Yokogawa DCS platforms
Visiting Positions
Collaborative research contributions in machine learning, AI, and biomedical imaging through short- and mid-term academic engagements
Research
Hosted by Prof. Olawande Daramola on an A4U Erasmus+ mobility grant, covering machine learning, applied AI and translational research, and presenting non-invasive intracranial pressure monitoring
Research
Worked with Prof. Irene Amerini's ALCOR Lab on computer vision, pattern recognition and multimodal AI, and presented non-invasive intracranial pressure from near-infrared photonics
Research
Worked with Prof. George Azzopardi at the Bernoulli Institute on machine learning, computer vision and predictive modeling, and lectured on non-invasive brain pressure monitoring
Research
Joined the Laboratory of Biomedical Imaging on combining fMRI, PET and electrophysiology with ML for hydrocephalus and brain trauma, and presented SafeICP work on non-invasive brain pressure
Research
Built automated coronary stenosis detection and scoring with Prof. Alejandro Frangi, and used VAEs and GANs to synthesize training data and overcome dataset scarcity in vascular imaging
Research
Generated semi-synthetic ultrasound data to improve segmentation robustness, and built models for pulmonary emphysema detection and unsupervised segmentation with Prof. Maria Ledesma-Carbayo
Research
Built catheter detection and segmentation in 3D ultrasound using support vector machines and texture features, and benchmarked a new feature selection method with Prof. Farid Melgani