Ilya Balabin
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Ilya Balabin Email & Phone Number

Theoretical physicist, computational chemist, cheminformatician, life sciences journeyman, ML/AI practitioner at Avicenna Biosciences, Inc.
Location: Raleigh-Durham-Chapel Hill Area, United States 11 work roles 1 school
1 work email found @avicenna-bio.com 3 phones found area 408 and 301 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email i****@avicenna-bio.com
Direct phone (408) ***-****
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Current company
Role
Theoretical physicist, computational chemist, cheminformatician, life sciences journeyman, ML/AI practitioner
Location
Raleigh-Durham-Chapel Hill Area, United States
Company size

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Ilya Balabin is listed as Theoretical physicist, computational chemist, cheminformatician, life sciences journeyman, ML/AI practitioner at Avicenna Biosciences, Inc., a with 12 employees, based in Raleigh-Durham-Chapel Hill Area, United States. AeroLeads shows a work email signal at avicenna-bio.com, phone signal with area code 408, 301, and a matched LinkedIn profile for Ilya Balabin.

Ilya Balabin previously worked as Senior Machine Learning Scientist at Avicenna Biosciences, Inc. and Data Scientist at Not Another Startup In Stealth Mode. Ilya Balabin holds Ph. D., Physics from Uc San Diego.

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Email format at Avicenna Biosciences, Inc.

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{first_initial}{last}@avicenna-bio.com
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Profile bio

About Ilya Balabin

Experienced scientist/engineer with a rare skill stack that combines versatile computer science skills with in-depth domain expertise in computational life sciences, theoretical physics, and mathematics. Proficient in leading project teams, working within teams, or operating independently. Track record of successfully solving exceptionally difficult problems in academy, government, and industry environment (Fortune 500 companies to startups).Computer Science skills: AWS Machine Learning Specialization certified; translating business problems into data science problems, data engineering and analysis, ML/DL model development, evaluation, deployment, and maintenance; generative models; Linux, HPC, cloud computing, GPU computing, software engineering, Agile workflow.Life Sciences skills: Computational chemistry: structural modeling, docking and scoring, molecular dynamics, trajectory analysis, FEP, electronic structure calculations; ligand-receptor interactions, signal transduction, allosteric modulation, ligand design, molecular machines. Cheminformatics: QSAR, virtual screening, generative models, chemical structure space, molecular fingerprints, pharmacophores, molecular similarity, structure-activity landscapes. Background in theoretical physics and mathematics.

Listed skills include Molecular Dynamics, Molecular Modeling, Computational Chemistry, Bioinformatics, and 51 others.

Current workplace

Ilya Balabin's current company

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Avicenna Biosciences, Inc.
Avicenna Biosciences, Inc.
Theoretical physicist, computational chemist, cheminformatician, life sciences journeyman, ML/AI practitioner
Chapel Hill, NC, US
Employees
12
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11 roles · 28 years

Ilya Balabin work experience

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Role listed

Avicenna Biosciences, Inc.

Data Scientist

Not Another Startup In Stealth Mode
2021 - 2022 ~1 yr

Data Engineer

El Dorado Hills, California, Us

HIGHLIGHT: Strengthened the company AI intellectual property portfolio by initiating, developing, and filing two patent applications on novel algorithms for network architecture search and a provisional patent application on novel methods for controlling video generation with GANs. Wrote a DOE grant proposal focused on implementing the proposed ideas.KEYWORDS: AWS Machine Learning Specialization certification; artificial intelligence, deep learning, artificial neural network, model development, evaluation, deployment, parameter tuning, computer vision, transfer learning, data generation, latent space, network architecture search, genetic algorithms, CNN, RNN, GAN, autoencoder, Pytorch, Tensorflow, Keras, ONNX, OpenCV, PIL, Jupyter notebook, Pycharm, NVIDIA DGX, Lambda Labs, high-performance computing, GPU computing, edge computing; AWS cloud, in-house cloud; high-impact research publications.

2019 - 2021 ~2 yrs

Systems Application Analyst - Advisor

Falls Church, Va, Us

HIGHLIGHT: Led a project on developing and optimizing novel QSAR models based on custom similarity metrics designed to maximize model accuracy when training data are limited. Consistently outperformed the state-of-the-art CERAPP consensus model (built on top of 48 individual QSAR models from 19 laboratories around the globe) in balanced accuracy and ROC AUC for estrogen receptor antagonist activity predictions. Consistently received “A” customer satisfaction scores.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, data science, machine learning, molecular simulations, computational biochemistry, cheminformatics, bioinformatics, high performance computing, algorithms, software development, large-scale data mining, retrieval, and storage, high-throughput data flows, data curation, visualization, design, development, validation, evaluation, tuning, profiling, machine learning models, structural modeling, docking, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, ligand-protein interactions, signal transduction, allosteric modulation, biased agonism, ligand design, molecular machines, biological redox reactions, QSAR/QSPR modeling, chemical structure space, molecular similarity metrics, structure-activity landscapes, virtual screening, sequence alignment, supercomputers, large-scale Linux clusters, GPU computing, Linux, Mac OS, Windows, Python, Perl, R, C++, C, Java, HTML, shell scripts, MySQL, PostgreSQL, SPARQL, Eclipse, Visual Studio, MySQL Workbench, Git, Maven, Agile development, NumPy, SciPy, scikit-learn, pandas, TensorFlow, Keras, team leading, project management, mathematics, theoretical physics, chemistry, molecular biology, systems biology, pharmacology, toxicology, high-impact research publications.

2017 - 2018 ~1 yr

Senior Scientific System Analyst Staff

Reston, Virginia, Us

HIGHLIGHT: Initiated a project on developing novel QSAR machine learning models based on custom similarity metrics. Benchmarked the developed algorithms against the baselines. Consistently received “A” customer satisfaction scores.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, data science, machine learning, molecular simulations, computational biochemistry, cheminformatics, bioinformatics, high performance computing, algorithms, software development, large-scale data mining, retrieval, and storage, high-throughput data flows, data curation, visualization, design, development, validation, evaluation, tuning, profiling, machine learning models, structural modeling, docking, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, ligand-protein interactions, signal transduction, allosteric modulation, biased agonism, ligand design, molecular machines, biological redox reactions, QSAR/QSPR modeling, chemical structure space, molecular similarity metrics, structure-activity landscapes, virtual screening, sequence alignment, supercomputers, large-scale Linux clusters, GPU computing, Linux, Mac OS, Windows, Python, Perl, R, C++, C, Java, HTML, shell scripts, MySQL, PostgreSQL, SPARQL, Eclipse, Visual Studio, MySQL Workbench, Git, Maven, Agile development, NumPy, SciPy, scikit-learn, pandas, TensorFlow, Keras, team leading, project management, mathematics, theoretical physics, chemistry, molecular biology, systems biology, pharmacology, toxicology, high-impact research publications.

Aug 2016 - Mar 2017

Senior Scientific System Analyst Staff | Scientific System Analyst Staff

Bethesda, Md, Us

HIGHLIGHT: Designed and prototyped in Python conventional machine learning models (SVM, RF, kNN) and deep learning models (CNN) for evaluating the connection between chemical structures and their biological activities. Obtained over 180,000 estimates of human estrogen receptor activity.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, data science, machine learning, molecular simulations, computational biochemistry, cheminformatics, bioinformatics, high performance computing, algorithms, software development, large-scale data mining, retrieval, and storage, high-throughput data flows, data curation, visualization, design, development, validation, evaluation, tuning, profiling, machine learning models, structural modeling, docking, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, ligand-protein interactions, signal transduction, allosteric modulation, biased agonism, ligand design, molecular machines, biological redox reactions, QSAR/QSPR modeling, chemical structure space, molecular similarity metrics, structure-activity landscapes, virtual screening, sequence alignment, supercomputers, large-scale Linux clusters, Linux, Mac OS, Windows, Python, Perl, R, C++, C, Java, HTML, shell scripts, MySQL, PostgreSQL, SPARQL, Eclipse, Visual Studio, MySQL Workbench, Git, Maven, Agile development, NumPy, SciPy, scikit-learn, pandas, TensorFlow, Keras, team leading, project management, mathematics, theoretical physics, chemistry, molecular biology, systems biology, pharmacology, toxicology, high-impact research publications.

Jun 2011 - Aug 2016

Research Scholar | Postdoctoral Research Associate

Durham, North Carolina, Us

HIGHLIGHT: Proposed and developed a novel mechanical model of signal transduction in protein receptors. Identified 4 specific structural motions that mediate signaling, confirmed known allosteric sites, and predicted 4 new prospective allosteric sites in bovine rhodopsin and human beta_2 adrenergic receptor.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, molecular simulations, computational biochemistry, high performance computing, algorithms, software development, data curation, visualization, design, development, validation, evaluation, tuning, profiling, structural modeling, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, ligand-protein interactions, signal transduction, allosteric modulation, biased agonism, molecular machines, biological redox reactions, large-scale Linux clusters, Linux, Perl, C++, C, HTML, shell scripts, mathematics, theoretical physics, chemistry, molecular biology, high-impact research publications.

2009 - 2011 ~2 yrs

Nsf Fellow In Interdisciplinary Informatics | Postdoctoral Research Associate

Champaign, Il, Us

HIGHLIGHT: Built the first all-atom structural model of the F0 ATPase proton pump using NMR and X-ray data. Identified structural changes suggested to mediate specific proton transfer steps using molecular dynamics and stochastic modeling.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, molecular simulations, computational biochemistry, high performance computing, algorithms, software development, data curation, visualization, design, development, validation, evaluation, tuning, profiling, structural modeling, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, molecular machines, biological redox reactions, supercomputers, large-scale Linux clusters, GPU computing, Linux, Perl, C++, C, HTML, shell scripts, mathematics, theoretical physics, chemistry, molecular biology, high-impact research publications.

2000 - 2003 ~3 yrs

Postdoctoral Research Associate

La Jolla, Ca, Us

HIGHLIGHT: Quantitatively described the influence of protein dynamics on electronic coupling in redox proteins. For the first time, demonstrated that protein dynamics may accelerate electron transfer rates in the photosynthetic reaction center (R. sphaeroides) by more than 10,000 times.KEYWORDS: Theory, modeling, computer simulations, analysis, complex systems, molecular simulations, algorithms, software development, visualization, design, development, validation, evaluation, tuning, profiling, structural modeling, molecular dynamics, trajectory analysis, statistics, electronic structure calculations, biological redox reactions, Linux, Perl, C, HTML, shell scripts, mathematics, theoretical physics, chemistry, molecular biology, high-impact research publications.

1999 - 2000 ~1 yr
1 education record

Ilya Balabin education

  • Uc San Diego
    Uc San Diego
    Physics
FAQ

Frequently asked questions about Ilya Balabin

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What company does Ilya Balabin work for?

Ilya Balabin works for Avicenna Biosciences, Inc..

What is Ilya Balabin's role at Avicenna Biosciences, Inc.?

Ilya Balabin is listed as Theoretical physicist, computational chemist, cheminformatician, life sciences journeyman, ML/AI practitioner at Avicenna Biosciences, Inc..

What is Ilya Balabin's email address?

AeroLeads has found 1 work email signal at @avicenna-bio.com for Ilya Balabin at Avicenna Biosciences, Inc..

What is Ilya Balabin's phone number?

AeroLeads has found 3 phone signal(s) with area code 408, 301 for Ilya Balabin at Avicenna Biosciences, Inc..

Where is Ilya Balabin based?

Ilya Balabin is based in Raleigh-Durham-Chapel Hill Area, United States while working with Avicenna Biosciences, Inc..

What companies has Ilya Balabin worked for?

Ilya Balabin has worked for Avicenna Biosciences, Inc., Not Another Startup In Stealth Mode, Blaize, Csra Inc, and Leidos.

How can I contact Ilya Balabin?

You can use AeroLeads to view verified contact signals for Ilya Balabin at Avicenna Biosciences, Inc., including work email, phone, and LinkedIn data when available.

What schools did Ilya Balabin attend?

Ilya Balabin holds Ph. D., Physics from Uc San Diego.

What skills is Ilya Balabin known for?

Ilya Balabin is listed with skills including Molecular Dynamics, Molecular Modeling, Computational Chemistry, Bioinformatics, Scientific Computing, Python, Systems Biology, and Biophysics.

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