Alexander Kislukhin, PhD — CEO
Recent open-source work in data/python ecosystem: https://github.com/liquidcarbon/qstrings - unified LLM and SQL queries - author https://github.com/liquidcarbon/puppy - project/environment manager with a single-curl API to create complex python builds - author https://github.com/liquidcarbon/affinity - build well-documented datasets - author https://github.com/marimo-team/marimo - next-gen python notebooks - issue monkey, occasional contributor https://medium.com/@liquidc - some long-form writing I offer deep experience and expertise in designing and delivering data supply chain solutions using modern software engineering practices and cloud technologies, with a focus on life sciences and healthcare. I design and implement bespoke data supply chain and insight delivery architecture. Are you sitting on a pile of data but don't have the data strategy and resources to prove its value? Do you need independent technical/scientific due diligence on projects that offer to accelerate/derisk/streamline this and that with ML/AI? Do you want to chat about life, science, or data? Send me a message! I specialize in knowledge engineering and full-stack solutions development catered to customer's needs - from assessment of what's possible and what's broken and how to fix it, to training your first Python users on Windows computers, to end-to-end machine learning solutions that integrate seamlessly into production-grade software systems. Sample projects in 2023-2025: + design, deployment, and continuous improvement of operational analytics for global $100M medical device product line (on-prem) + serverless APIs for low-cost inference on billions of molecules (AWS) + NGS-based drug discovery pipelines (GCP) + workflow orchestration for ML-enabled microscopy image processing (AWS) Alex trained as a chemist at Higher Chemical College of Russian Academy of Sciences. He holds a PhD in Chemical Biology from the Scripps Research Institute in La Jolla, CA. As a National Cancer Institute Fellow at the University of California San Diego, he invented new materials for imaging cancer immunotherapies in the lab of late Nobel-winning chemist and neuroscientist Roger Tsien. Before shifting towards data science, Alex consulted in the fields of materials science, vaccine development, diabetes, oncology, and medical diagnostics. Alex is the founder of Aumics, a non-profit focused on improving pain management through objective measurement of pain.
Stackforce AI infers this person is a Healthcare Data Scientist with expertise in data engineering and machine learning.
Location: Denver, Colorado, United States
Experience: 22 yrs
Skills
- Data Engineering
- Drug Development
- Data Science
- Supply Chain Management
Career Highlights
- Expert in data supply chain solutions for life sciences.
- Founder of Aumics, focused on chronic pain research.
- Core developer of innovative data pipelines in healthcare.
Work Experience
Enveda Biosciences
Sr Data Scientist (1 yr 5 mos)
SemanticBits
Senior Data Scientist (9 mos)
CommonSpirit Health
Data Scientist (1 yr 3 mos)
Charter Communications
Data Scientist (10 mos)
Aumics
Founder, CEO (8 yrs 8 mos)
SomaLogic
Scientist (1 yr)
AmideBio
Associate Director (1 yr)
UC San Diego
Postdoc (2 yrs 6 mos)
Albond Technologies
Independent Consultant (13 yrs 1 mo)
The Scripps Research Institute
Graduate Student (4 yrs 10 mos)
External Graduate Student, K.C. Nicolaou Lab (3 mos)
GeneGo, a Thomson Reuters business
Patent Analyst (11 mos)
Evrogen
Research Associate (2 yrs 2 mos)
N. D. Zelinsky Institute of Organic Chemistry Russian Academy of Sciences
Student Researcher (2 yrs 1 mo)
Education
PhD at Scripps Research
BS/MS at Higher Chemical College RAS
Data Strategy at University of California, Berkeley, Haas School of Business
