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I help organizations replace AI guesswork with functional, glass-box solutions and rigorous scientific validation. As a PhD Scientist and Senior Research Manager, I specialize in building the transparent frameworks required for high-stakes, automated decision-making. Whether you are navigating complex datasets or developing an Explainable AI (XAI) strategy, I provide the academic rigour and technical oversight needed to transform messy data into clear, defensible, and trusted AI systems. Impact & Proof - Enterprise AI Workflows: Oversaw the development of a comprehensive AI Ethical Framework and R&D adoption path, driving the successful launch of 10+ operational and client-facing AI workflows. - Clinical ML Deployment: Built ML models for pediatric rehabilitation that integrated into clinical therapy programs across home and clinic settings. These applications have been deployed in 2 hospitals, serving 50+ patients and utilized by 10+ clinicians. - Data Science & Advanced Analytics: Delivered 60+ comprehensive Quality Assurance reports, specializing in extracting actionable insights from messy data and solving fuzzy, ill-defined business questions through rigorous scientific validation. - Academic Rigour: Authored over 60 peer-reviewed academic journal articles, conference papers, and presentations, grounding my freelance work in cutting-edge, verifiable AI and data science methodologies. Core Services Explainable AI (XAI) Strategy - The Problem: "Our AI makes decisions, but I can't explain why to my stakeholders or my users." - The Solution: I turn "black box" models into transparent systems with human-readable outputs, ensuring best-practice and stakeholder buy-in. Scientific Validation - The Problem: "We know our product has potential, but we lack the rigorous scientific proof to show how great it is." - The Solution: I design comprehensive, peer-reviewed validation frameworks across the entire scientific workflow—from hypothesis generation, experimental design, and data collection, to statistical modelling, evaluation, and reporting—to definitively prove your tool works safely and accurately in the real world. Algorithmic Auditing - The Problem: "We are ready to scale our AI to the next level, but need a defensible governance framework to prove to stakeholders that our models are fair and systematically sound." - The Solution: Implementing an end-to-end AI governance framework that spans technology evaluation, systems architecture, and ethical policy design, ensuring fair results across user populations and mitigating long-term risk. (Note: Due to an active non-compete agreement, I am unable to accept engagements related to Higher Education Selection Assessment and Analytics.) What Others Say (via LinkedIn) "Alex consistently brings a high level of technical expertise and client-focused insight... translating data into recommendations that resonate with their goals." — Katie A., MBA, Strategic Partnerships "His consistent and patient guidance have been instrumental in accelerating my knowledge in applying machine learning... Alex breaks down complex biomechanical and technical concepts through concrete examples." — Elisa D., MScAC, Machine Learning & Data Science Analysis & Tech Stack - Languages & AI Frameworks: Python (Pandas, Polars, SciPy, TensorFlow, PyTorch, LangChain, LangGraph, GraphRAG, spaCy, FastAPI, Streamlit, Plotly, Weights & Biases), R, MATLAB - Data & Cloud: SQL (PostgreSQL), Vertex AI, Gemini File Search, Docker, Firebase, Pinecone, Looker, Qlik, AWS - Methodologies: Bayesian & Classical Statistics, Mixed-Methods Studies, Psychometrics, Meta-analysis, Biomechanical Modelling, User-Centered Design Ready to deploy with confidence? If you want to prove your AI works well, send me a message. Let's set up a 15-minute consultation to map out your algorithmic auditing and validation strategy.

I am a senior medical writer and scientific consultant with 10+ years of hands-on experience in biomedical research, translating complex science into clear, accurate, and compelling content for scientific, clinical, and public audiences. My background spans neuroimmunology, oncology, vaccines, drug delivery, and molecular biology, with deep expertise across both academia and biotech startups. I bring the rigor of a researcher and the clarity of a communicator—so your science is not just correct, but understood. What I Can Help You With 🧬 Medical & Scientific Writing 1) Manuscript planning, writing, editing, and journal submission support 2) Review articles, white papers, grant content, and scientific reports 3) Clinical and translational research summaries 📣 Science Communication & Content 1) Blogs, articles, and explainer pieces for scientific and lay audiences 2) Scripts for educational videos, talks, and social media 3) Public-facing science content grounded in evidence and policy 🎨 Scientific Visuals & Infographics 1) Clear, publication-ready infographics and figures 2) Expertise with BioRender and Canva 3) Visual storytelling for complex biological mechanisms 🚀 Scientific Consulting for Startups 1) Scientific review of early-stage biotech products and drug concepts 2) Molecular biology and chemistry perspective on mechanisms, targets, and feasibility 3) Help translating ideas into clear narratives for investors, partners, or collaborators 4) Guidance on next scientific steps and positioning Professional Experience Medical Writer, Science Consultant & Editor Worked with 3 early-stage startup companies, contributing across oncology, diabetes, menopause, and cardiology. Supported manuscript development, scientific positioning, and internal/external communications. Volunteer Medical Writer & Script Writer 1) Unbiased Science and Royal Canadian Institute (Canada) 2) Developed blogs, scripts, and social media content to educate the public on emerging research, evidence-based medicine, and public health policy. Scientific Publications Author of 12 peer-reviewed scientific publications. Extensive experience supporting manuscripts from concept to submission, including outlining, figure development, editing, and reviewer response. Education & Research Training 1) Postdoctoral Fellowship – Harvard Medical School Developed novel tools to access the blood–brain barrier Deep expertise in neuroimmunology and translational research 2) PhD – Biomedical Engineering, University of Chicago Designed new vaccine and tumor adjuvants Developed nanoparticle-based drug delivery systems 3) Master’s Degree – Chemistry Strong foundation in small-molecule synthesis and drug chemistry Why Clients Work With Me 1) I’ve done the science, not just written about it 2) I’m equally comfortable with molecular mechanisms and big-picture strategy 3) I care deeply about accuracy, clarity, and impact 4) I help your science make sense to reviewers, stakeholders, and decision-makers If you’re a startup, research group, or organization looking for a senior scientific partner who can think critically and communicate clearly, I’d love to collaborate.

PhD in Materials Science, MSc in Mechanical Engineering, with 40+ published papers in high-impact journals. I help clients design manufacturable products and write high-impact scientific manuscripts. I offer high-quality manuscript writing and technical content development based on my experience as a researcher with 40+ peer-reviewed publications in materials science and mechanical engineering. Whether you need a polished scientific article, a well-structured long-form document, or a complete rewrite of existing content, I transform complex ideas into clear, professional, and publication-ready writing. My work is detail-oriented, accurate, and tailored to your specific goals, ensuring a smooth and reliable collaboration from start to finish.

I’m a PhD-level scientist ready to help researchers, clinicians, and biotech companies turn complex scientific findings into clear, compelling manuscripts, grant applications, academic theses, clinical protocols, and presentations. I provide end-to-end project management support including experimental planning, data analysis and business insights. With over eight years of experience in biotech and academia including clinical research I will bring the expertise you need to move your projects forward.

I am a computational physicist (PhD and postdoc in computational photonics) with extensive experience of solving physical/mathematical problems in both academia and industry. The following provides a summary of the work I have done: 1) Computational simulations of physical systems. This involved electromagnetics, electro and magnetostatics, current flow in ionic cells (dc and ac), diffusion, structural mechanics and charged particle tracing. 2) Optical system design and analysis. I specialize in optics so this topic has been a recurring part of my work. Particular examples include Fourier optics, gaussian beam propagation and aberration analysis. 3) Machine learning, mathematical optimization and signal processing. Physical problems in products naturally overlap with concepts in mathematical modelling. I have used signal processing, machine learning and nonlinear optimization and filtering methods for both 1D and 2D data. 4) I began my journey as an electrical engineer. I am familiar with electrical systems and have hands on experience of programming microcontrollers and FPGAs. As for tools, I am an advanced user of Comsol Multiphysics and opensource FEM code FeniCS. For scientific programming, I have extensively used Matlab, Python and Julia.

- I have been working as a method and software developer in molecular quantum dynamics for more than 15 years - I am experienced in scientific coding in Fortran and Python, and I have also conducted smaller projects in C, C++, and MATLAB - I am familiar with UNIX-based operating systems - I have published numerous articles in renowned academic journals - I am fluent in Polish, German, and English and can translate between any two of these languages