Data Science Ph D

Andrey Ptitsyn, Ph.D.

RESUME

PHONE: 904-***-****

E-MAIL: *******@********.***

WWW: https://www.linkedin.com/in/andrey-ptitsyn-95b40011/

Work: Naturalized US Citizen

PROFILE

Experienced Research Leader with a record of achievement in Translational Bioinformatics, Computational Biology, Genomics, and Precision Medicine.

• In-depth knowledge of research data and algorithms in Computational Biomedical Sciences.

• Theoretical knowledge and hands-on experience in GenAI, LLM, neural networks architecture, and KAN.

• A wide scope of knowledge and hands-on skills across multiple domains including Healthcare, Medical Coding, Population Health, Molecular Diagnostics, Drug Development, Genomics, NGS, Cancer Research, Metabolism, Genetics, Metagenomics, Microbiology, and Metagenomics.

• Designed and implemented Informatics Research infrastructure, services, and research programs for the largest and most complex projects in Biomedical Science, with strong management and recruitment skills.

• Exceptional organizational, communication, and writing skills, robust publication record (60+ total, 3500+ citations, h-index 26).

EDUCATION

Ph.D. in Bioinformatics, University of the Western Cape, Cape Town, South Africa.

Master of Science in Computational Biology, Novosibirsk State University, Novosibirsk, Russia

SKILLS

Domain: Leadership, Public Health, Genetics, Genome Engineering, Bioinformatics, Genomics, Precision Medicine, Clinical Data, EHR, NGS, Proteomics, Metabolomics, Drug Discovery, Drug Effects, Biomarkers, Pharmacogenomics, Biopathways, Medical Coding, Business Analytics, Fraud Analytics

R&D: ML, AI, Statistics, Data Science, CNN, LSTM, NLP, LLM, Keras, Pandas, Flask, Seaborn, TensorFlow, scikit learn, etc.

Algorithms: Time series, Digital Signal Processing, Graphs, Artificial Neuron Networks, Regression, PCA, Cluster Analysis, Factor Analysis, Classification, Dimensionality Reduction, Visualization, Autoencoders, Transformers, etc.

Programming: C/C++, Python, R, Assembler (PDP, Intel x86), Fortran, Pascal, Java, Perl, Parallel programming in MPI, OpenMP and POSIX standards, GPU (CUDA), Hadoop, Scala

Systems: Unix (RHEL/Debian/Ubuntu), HPC, AWS/GCP/Azure/VMware clouds, Windows, OSX, Docker, Conda, SQL

EXPERIENCE

Gentleman Scientist, General Precision Biosciences, 2023– current

Self-employed. Provide guidance to the leadership for transforming the company into an AI business. Independent research and consulting. Advancing personal research interests in AI and Biomedical Sciences.

Discovered the molecular mechanism performing the function of a diode in cellular circuits, i.e. maintaining a steady production of polypeptides from oscillating mRNA transcription

Developed the method for whole-genome composition analysis

Discovered gained and lost genes in the newly sequenced genome of Aplysia californica

Assisted in planning and design of new genome research centers

Head of AI and Data Science, Avellino Labs, Menlo Park, CA, 2021 – 2023

Lead strategic vision and tactical directions to drive the evolution of the company’s big data platform and the new line of molecular diagnostics products.

· Filled the company’s ophthalmology product pipeline by the development of innovative Personal Risk Score tests based on Deep Learning AI and multi-modal data.

· Boosted the company valuation by authoring all key patents for AI applications in Genomics and Precision Diagnostics in the Ophthalmology area.

· Opened new markets by improving the precision of genetic tests from AUC=0.65 to AUC=0.95 with coverage for all major ethnic groups.

· Provided guidance to the leadership for transforming the company into an AI business; developed new business models for Biomedical Data Marketplace, Multi-modal Data Lakehouse; designed and implemented the company’s internal Data and Analytics platform.

Chief Scientific Officer, Xenotherapeutics Foundation, Boston, MA, 2020 – 2021

Provided scientific guidance for research, scientific programs, intellectual property, publications, and future research directions based upon market opportunities and technical capabilities of the company engineering cells, tissues, and organs for transplantation from animal sources to humans.

• Facilitated successful funding by providing the scientific foundation for the company’s investor prospectus.

• Doubled the company’s IP portfolio by authoring and co-authoring patentable inventions in genome engineering, graft monitoring, predictive modeling of host immune response, etc.

• Designed the tech to reduce the implementation time for the gene-editing pipeline in half through rational multiplexing and cutting-edge CRISPR innovations.

• Assured the quality of engineered cell lines by developing with contractors the NGS-based genome integrity test.

• Introduced cutting-edge high-throughput data, AI, computational methodology to the genome engineering pipeline.

Principal Data Scientist, Alivia Analytics, Boston, MA, 2019 – 2020

Lead the development of advanced Data Analytics, AI, and Machine Learning to improve business standards in healthcare.

• Developed rule-based SQL queries for the identification of laboratory and EPSDT procedure patterns of Fraud, Waste, and Abuse in Medicare and Medicaid

• Identified and flagged for recovery tens of millions of dollars overpaid by Medicare and Medicaid using advanced ML algorithms and Big Data Analytics

• Instigated successful sales by the development of new algorithms and analysis strategies to identify and classify behavioral and economic patterns associated with Fraud, Waste, and Abuse in Healthcare

• Facilitated adoption of new algorithms, and analysis strategies, and attracted new clients by the introduction of novel visualization tools for relation graphs, causality, timeline, and geolocation of provider in Healthcare.

• Saved millions of dollars in annual expenses for a client Healthcare company by developing prognostic algorithms for the prediction of prescription expenses based on the history of insurance claims

• Mitigated the effect of COVID-related budget cuts for state customers by improving Medicaid enrollment forecast with a Deep Learning model

• Improved precision of Fraud Detection Algorithms by developing natural taxonomy of healthcare providers found on the patterns of economic activity in Medicaid records using Natural Language Processing (NLP/LLM) and Deep Learning approaches

• Provided a competitive edge for the company by developing “Digital Twin” technology to model patients' health trajectories, provider’s activity patterns, and patient-practitioner interaction outcomes using advanced NLP, AI, and ML approaches.

Director of Bioinformatics, Gloucester Marine Genomics Institute, Gloucester, MA, 2017 – 2019

Bootstrapped Bioinformatics infrastructure, services, and computational research program for Marine Genomics. Developed advanced pipelines for genome assembly and annotation, genomic variation analysis, metagenomics, and data mining for prospective biologics. Sequenced and annotated the genome of American lobster.

Director of Bioinformatics PI Acting Chair, Sidra Medicine, Doha, Qatar, 2014 – 2016

Created and led the largest Bioinformatics facility in the Middle East (20+ PhD-level FTE hired in the first year). Bootstrapped Bioinformatics infrastructure, services, and research hired the personnel, designed custom HPC platform for Genomics and Big Data analytics ($16M initial order), drafted technological platform and analysis strategy for the National Genome program sequencing the entire nation (~350,000 genomes) with practical tools such as localized pharmacogenomics panels, cancer diagnostic panels, diagnostic newborn screening panels, etc.. Established collaborative research programs in Genomics, Oncology, Diabetes, and congenital diseases. Submitted the record number of invention disclosures and received the first two patents issued to Sidra.

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