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Education
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Ph.D. in Electrical Engineering,
North Carolina State University, Raleigh, NC, August 2018
Minor in Mathematics
Dissertation: Computational methodologies for unraveling gene regulation mechanisms underlying iron deficiency response in Arabidopsis thaliana root.
GPA: 4.0 / 4.0 -
M.S. in Computer Science,
National Research University of
Electronic Technology, Moscow, Russia, July 2009
Conc. in Elements and Devices of Computer and Information Systems
Rating: 99.2% (1-st among 57 students) -
B.S. in Computer Science,
National Research University of
Electronic Technology, Moscow, Russia, June 2007
Conc. in Information and Computer Science
Rating: 94.7% (9-th among 256 students)
Work Experience
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Feb 2025 - Now
Senior Data Scientist
Xomnia
Consulting at Rabobank:- Proposed and prototyped a model for predicting the next transaction date in periodic sequences;
- Delivered to production an extension of the periodicity detection model for organizations;
- Standardized coding practices across team repositories, improving readability and reducing time spent on stylistic debates during PR reviews;
- Designed a monitoring framework that transformed a collection of notebook-based scripts—previously reprocessing full datasets each run—into modular, object-oriented components that process only new data increments as they arrive;
- Led the migration of periodicity model documentation from MS Word to LaTeX, enabling version control with Git and significantly reducing update time;
- Organized knowledge-sharing sessions to equip fellow data scientists and engineers to use the developed tools effectively and independently.
- Career mentor.
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Apr 2023 - Feb 2025
Data Scientist
Xomnia
Consulting at Rabobank:- Initiated and took a leading role in the periodicity cold start project. The project aimed to predict periodicity starting with the first transaction in a sequence;
- Contributed to migrating the transaction periodicity model from Pandas to Polars, reducing computational complexity from exponential time in the legacy solution to linear time with respect to the number of processed transactions;
- Advised a team of young professionals on developing a GDPR-sensitive transactions detector using Azure platform tools;
- Implemented a statistical test in PySpark on Databricks to ensure performance stability of the transaction periodicity detection model.
- Authored a blog post on data visualization that ranked among the company's top 5 most-viewed articles for three consecutive months;
- Delivered an internal training session on PySpark best practices in Azure Databricks.
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Feb 2022 - Sep 2022
Staff Data Scientist I
Vericast
Developed automated feature engineering functionality for big data applications in a scalable machine learning execution engine on AWS. The corresponding Python library was projected to save up to 90% time a Data Scientist spends writing custom SQL queries for each new client's dataset.
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March 2021 - Feb 2022
Data Scientist II
Vericast
Identified and solved business problems with Big Data analytics and machine learning:- Optimized digital advertisement auction bidding decisions for cost per action campaigns;
- Prototyped tools for a privacy centered digital ad targeting solution. The solution relies on webpage content as opposed to user tracking for placing clients' ads:
- Built machine learning pipelines that analyze 300 million crawled web pages to select digital ad placements that are the most relevant to clients' desired content from 10 billion options daily.
- Trained an embedding model for 3,000 interest categories based on 200 million classified web URLs with PySpark Machine Learning library. The model suggests the most similar categories to clients' keywords. The implementation reduced ad campaign setup time and increased the number of relevant categories to target.
- Built a classification model for identifying web pages with brand sensitive content. The model reduced ad serving to websites with unsafe content by 80% and improved clients' satisfaction with reporting.
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December 2018 - March 2021
Data Scientist I
Vericast
Designed Machine Learning algorithms for Big Data processing:- Developed machine learning models for quantifying users' interests in a variety of topics by analyzing billions of daily user URL visitations with PySpark Machine Learning toolkit;
- Engineered tools for identifying competitors for a given store from tens of millions of possible options by matching sets of corresponding industry classifiers at scale using natural language processing algorithms from spaCy Python library;
- Designed and tuned a random forest model for inventory quality prediction for digital ad auctions using Scikit-Learn. The resulting model improved the average ad viewability scores;
- Leveraged historical data on the outcomes of digital ad buying auctions to detect areas of flat win probability. This allowed saving about 2% on media costs by bidding at the lower side of such areas.
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July 2013 - July 2018
Research Assistant
EnBiSys Lab
Department of Electrical and Computer Engineering
North Carolina State University
Collaborated with researchers from the plant biology department on developing computational approaches for genomics data analysis:- Reduced the search space for iron deficiency induced regulators from a set of almost 3000 differentially expressed genes to a testable subset of 7 candidates by applying unsupervised machine learning algorithms to analyze high dimensional whole genome time course datasets;
- Inferred novel regulatory connections between key stress response genes through the classification and matching of the corresponding temporal expression patterns;
- Developed a dynamic ODE-based model for simulating gene activity dynamics over time during plant stress response and predicting plant behavior under a variety of conditions;
- Proposed the types of additional experiments capable of resolving model parameter non-identifiability in an efficient way;
- Spotted a bias between batches of experimental data, hypothesized the source of the bias based on the technology used, and successfully compensated it with minimal additional experimentation;
- Aggregated diverse experimental datasets for model parameter training;
- Quantified uncertainty associated with the model fit to produce testable predictions which were then validated with additional experiments;
- Presented research updates to 4 project PIs and their students;
- Gave a guest lecture on current gene expression quantification technologies and strategies for the corresponding data analysis;
- Mentored 2 undergraduate students;
- Leading author of 4 publications: 2 published journal papers, 1 journal paper recently submitted for publication, 1 paper in conference proceedings.
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January 2013 - May 2013
Teaching Assistant
Department of Electrical and Computer Engineering
North Carolina State University
Assisted Dr. James M. Tuck teaching ECE 209 Computer Systems Programming:- Helped students at problem sessions;
- Graded homeworks and programming assignments.
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August 2012 - December 2012
Teaching Assistant
Department of Electrical and Computer Engineering
North Carolina State University
Assisted Elliott Forbes teaching ECE 109 Introduction to Computer Systems:- Helped students at problem sessions;
- Graded homeworks and exams.
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September 2007 - July 2012
Electronics Engineer
Research Institute of Computing and Control Systems
National Research University of Electronic Technology
Worked on design and development of electronic devices:- Performed modeling, calculations, component selection, testing, and tuning for developed electronic circuits;
- Implemented signal processing algoritms in DSP and FPGA;
- Troubleshot, tested, and tuned developed devices;
- Developed a communication and control equipment for an electro-mechanical gyroscope system by creating a graphical user interface for PC, specifying and implementing communication protocols, designing circuitry for the communication hardware, and producing the corresponding digital signal processor firmware;
- Designed an electronic components tracking database with web-interface which helped organize the lab storage, reduce prototyping time, and avoid expenses on duplicating orders.
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Septebmer 2007 - June 2012
Teaching Assistant
Department of Computer Science and Telecommunications
National Research University of Electronic Technology
Assisted Dr. Yevgeni Bazhanov teaching Metrology:- Helped students at problem sessions;
- Graded course projects.
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Septebmer 2009 - January 2010
Teaching Assistant
Department of Computer Science and Telecommunications
National Research University of Electronic Technology
Assisted Dr. Yuri Volkov teaching Electric circuits:- Helped students at problem sessions;
- Developed an interactive teaching aid.
Research
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August 2012 - July 2018
EnBiSys Lab
Worked with Dr. Cranos M. Williams and Dr. Terri A. Long on identification of genetic regulators involved in plant response to iron deficient media by analyzing full genome time course transcriptome data and modeling the corresponding gene activity over time.
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August 2007 - July 2012
Research Institute of Computing and Control Systems
Worked on a high precision fast moving object's velocity measurement device.
Teaching
- ECE 588 (Systems Biology Modeling of Multicellular Organisms)
Guest Lecture
North Carolina State University
Fall 2018
- ECE 592 Special Topics (Systems Biology Modeling of Plant Regulation)
Guest Lecture and Homework Assignment
North Carolina State University
Fall 2017
- ECE 209 Computer Systems Programming
Teaching Assistant
North Carolina State University
Spring 2013
- ECE 109 Introduction to Computer Systems
Teaching Assistant
North Carolina State University
Fall 2012
- Electric circuits
Teaching Assistant/Interactive Teachig Aid Developer
National Research University of Electronic Technology
Fall 2009
- Metrology
Teaching Assistant
National Research University of Electronic Technology
Fall 2007 - Spring 2012
Coursework
Electrical Engineering
- ECE 513 Digital Signal Processing from Dr. Cranos M. Williams
- ECE 514 Random Processes from Dr. Dror Baron
- ECE 515 Digital Communications from Dr. Alexandra Duel-Hallen
- ECE 516 System Control Engineering from Dr. Mo-Yuen Chow
- ECE 542 Neural Networks from Dr. H Joel Trussell
- ECE 570 Computer Networks from Dr. Mihail Sichitiu
- ECE 592 Special Topics (Systems Biology Modeling of Plant Regulation) from Dr. Cranos M. Williams and Dr. Rosangela (Ross) Sozzani
- ECE 751 Detection and Estimation Theory from Dr. Hamid Krim
- ECE 752 Information Theory from Dr. Brian L Hughes
- ECE 759 Pattern Recognition from Dr. Hamid Krim
- ECE 763 Computer Vision from Dr. Wesley E Snyder
- ECE 792 Special Topics (Application of Graphs/Graphical Models) from Dr. Edgar Lobaton
Mathematics
- MA 520 Linear Algebra from Dr. Mohan Putcha
- MA 531 Dynamic Systems and Multivariable Control I from Dr. Stephen L. Campbell
- MA 540 Uncertainty Quantification for Physical and Biological Models from Dr. Ralph C. Smith
- MA 573 Mathematical Modeling of Physical and Biological Processes I from Dr. Mansoor Haider
- MA 580 Numeric Analysis I from Dr. Ilse Ipsen
- MA 771 Biomathematics I from Dr. Mette Sofie Olufsen
- BMA 567 Modeling of Biological Systems from Dr. Kevin Gross
Statistics
- ST 511 Experimental Statistics for Biological Sciences I from Dr. Jung-Ying Tzeng
- ST 512 Experimental Statistics for Biological Sciences II from Dr. Kevin Gross
- ST 524 Statistics in Plant Science from Dr. Kevin Gross
- ST 590 Special Topics (Applied Bayessian Analysis) from Dr. Brian Reich
Operations Research
- OR 506 Algorithmic Methods in Nonlinear Programming from Dr. N. G. Medhin
Other
- CE 610 Technical Communication for Engineering Research from Dr Meagan Kittle Autry
Course Projects
- ECE 592: Combining Time Course and Cell Specific Data to Improve Predictive Power of Gene Regulatory Networks
- ECE 751: Multiscale and Orthonormal Wavelet analysis with applications to Sound Processing and Signal Denoising
- ECE 759: Supervised and Unsupervised Classifier applications, Dimensionality Reduction techniques, and Optimal Training to Testing Data Ratio estimation
- ECE 763: Edge detection for images of different quality
- ECE 792 (1): Image segmantation based on Markov Model pixel representation
- ECE 792 (2): Person's Activity Recognition based signals from Wearable Sensors
- MA 531: Dynamic Control Design for a System described by a set of Nonlinear ODEs
- MA 771: Bifurcation analysis of a Forced Duffing Oscillator
- OR 506: Stock Portfolio Optimization
- ST 590: Hierarchical Bayessian model for NBA Referee Bias for Home Teams
IBM Badges
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Udemy Courses
| NLP - Natural Language Processing with Python |
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| PyTorch for Deep Learning with Python |
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| Spark and Python for Big Data with PySpark |
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Skills
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Programming
- Working knowledge:
Python · PySpark · Scikit-Learn · Pandas · MatplotLib · numpy
Git · MATLAB - Familiar with:
Keras · TensorFlow · PyTorch
SpaCy · nltk
SQL · Unix Shell · SAS · R
CSS · LabView · C ·C#
- Working knowledge:
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Technical Communication
- Strong verbal and writing skills
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Software
- Git
- AWS
- LaTeX
- MS Office
- GIMP
- AutoCAD
Publications
- Alexandr Koryachko, Samiul Haque, and Cranos Williams. Scalable approach to data driven transcriptome dynamics modeling. In Hisham Al-Mubaid, Qin Ding, and Oliver Eulenstein, editors, Proceedings of the 10th International Conference on Bioinformatics and Computational Biology: March 19-21, 2018, Las Vegas, Nevada, USA, pages 142-147. The International Society for Computers and Their Applications, 2018.
- Alexandr Koryachko, Anna Matthiadis, Joel J Ducoste, James Tuck, Terri A Long, and Cranos Williams. Computational approaches to identify regulators of plant stress response using high-throughput gene expression data. Current Plant Biology, 3:20-29, 2015.
- Alexandr Koryachko, Anna Matthiadis, Durreshahwar Muhammad, Jessica Foret, Siobhan M Brady, Joel J Ducoste, James Tuck, Terri A Long, and Cranos Williams. Clustering and differential alignment algorithm: Identification of early stage regulators in the Arabidopsis thaliana iron deficiency response. PLoS ONE, 10(8):e0136591, 2015.
- Alexandr Koryachko, Doppler frequency shift signal modeling for fast objects' speed calculation algorithm verification. In proceedings of the 10-th International Theoretical and Practical Conference "Educational, scientific, and engineering applications at the LabView environment and National Instruments technologies", Moscow, Russia, 2011, Page(s): 380-381.
- Alexandr Koryachko, Yelena Sharonina. LabView application for visual representation of electrical circuits features. In proceedings of the 8-th International Theoretical and Practical Conference "Educational, scientific, and engineering applications at the LabView environment and National Instruments technologies", Moscow, Russia, 2009, Page(s): 347-349. Awarded with second place in Laboratory Practicums and Teaching Aids category.
- Alexandr Koryachko. Application of radar techniques for high precision fast object's speed measurements. In proceedings of the Microelectronics and Information Science Conference, MIET, Moscow, Russia, 2009, Page(s): 201.
Conferences
- Alexandr Koryachko. Dynamic modeling of the iron deficiency modulated transcriptome response in Arabidopsis thaliana root, Oral Presentation, 3rd Annual Crops in silico Symposium & Hackathon, Urbana, Illinois, USA, August 2018.
- Alexandr Koryachko, Samiul Haque, and Cranos Williams. Scalable approach to data driven transcriptome dynamics modeling, Oral Presentation, 10th International Conference on Bioinformatics and Computational Biology, Las Vegas, Nevada, USA, March 2018.
- Alexandr Koryachko, Anna Matthiadis, Terri Long, Cranos Williams. Identification of key gene regulatory mechanisms underlying iron deficiency response in Arabidopsis thaliana, Poster Presentation, Annual Molecular BioTechnology Training Program Symposium, North Carolina State University, November 2016.
- Alexandr Koryachko, Anna Matthiadis, Terri Long, Cranos Williams. Revealing gene regulatory interactions of the iron deficiency response in Arabidopsis thaliana, Poster Presentation, 15th International Conference on Systems Biology, Melbourne, Australia, September 2014.
- Anna Matthiadis, Alexandr Koryachko, Terri Long, and Cranos Williams. Creating a dynamic gene regulatory model of the iron deficiency response in Arabidopsis thaliana, Poster Presentation, 9th Annual Graduate Student Research Symposium, North Carolina State University, March 2014.
- Alexandr Koryachko, Doppler frequency shift signal modeling for fast objects' speed calculation algorithm verification, Oral Presentation, 10-th International Theoretical and Practical Conference "Educational, scientific, and engineering applications at the LabView environment and National Instruments technologies", Moscow, Russia, 2011.
- Alexandr Koryachko. Application of radar techniques for high precision fast object's speed measurements, Oral Presentation, Microelectronics and Information Science Conference, MIET, Moscow, Russia, 2009.