Hire Freelance Computational Biology Experts
Mike Schachter
Mike has over 20 years of experience in machine learning, data science, and computational biology. His expertise includes signal and image processing, working with unstructured data such as images, video, audio, and text, and he is proficient in time series analysis. Extending from leveraging cloud platforms such as GCP and AWS to writing Python, R, C++, and Java code, Mike's technical experience resulted in significant contributions to the field of neuroscience.
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Laura Tolosi
Laura has a Ph.D. from the Max Planck Institute for Informatics, Germany, in the field of computational biology, focused on cancer biomarker detection using statistics and machine learning. She worked on projects in the field of natural language processing such as named entity recognition, sentiment analysis, fake news detection. Recently, she has worked on applying reinforcement learning methodology for trading financial instruments.
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Yilong Li
Yilong is a seasoned data scientist specialized in oncology and cancer genomics research. He completed his bioinformatics PhD at the University of Cambridge and has several publications in top scientific journals such as Nature, Science and Cell. After that, he worked in various R&D roles in the industry, focusing on genomics algorithm development, bioinformatics data analysis, and machine learning. Yilong follows best programming practices in his coding and data science projects.
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Ilya Prokin
Ilya is a data scientist, CTO, and AI tech entrepreneur with a PhD. He's an expert in applied data science, machine learning, AI, and LLM fine-tuning in the manufacturing, finance, and biotech industries. He has published scientific papers, scaled various MVPs to full-featured products, pitched startups, and built a strong AI community that spread to six cities. Ilya enjoys improving businesses with data, developing innovative ways to apply data and AI, and geeking out about optimization.
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Viktor Petukhov
Viktor holds a PhD in biostatistics, during which he developed eight open-source packages used by thousands of researchers worldwide. He also worked as a data science team lead and an independent AI consultant, translating business needs into technical terms. Combining scientific and enterprise experience, Viktor can support companies on the full spectrum, from formulating a business problem to building a production-ready AI solution.
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Hershel Safer
Hershel has extensive experience developing quantitative models in various industries, including finance, biopharma, and communications. His focus is the extraction of data-based insights to inform decision making. For the past decade, Hershel has worked primarily with machine learning; he also has expertise in optimization (linear, nonlinear, combinatorial, and graph). Hershel has a Ph.D. from MIT in operations research and an undergraduate degree from Yale in applied mathematics and economics.
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Simon Tietze
Simon is a data scientist with experience in deep learning, machine learning, statistics, big data, and method development. Over his career, he has worked in various fields, including adtech, molecular biology, telecommunication networks, and hardware reliability. Simon has built predictive machine learning systems, reporting dashboards, and in-depth analytical reports, ranging from small datasets to systems operating in real time with thousands of requests per second.
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Miguel Vazquez
Miguel has a Ph.D. in computer science and bioinformatics. He learned about data mining 20 years ago and discovered a great field of application in Bioinformatics. Since then, Miguel has worked in many areas focusing on cancer genomics (text-mining, systems biology, web development, and workflows). He has written hundreds of thousands of lines of open-source code and developed the Rbbt framework, one of the most effective tools for data analysis, downloaded over a million times.
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Rajesh Kumar Gazara
Rajesh is an experienced professional with substantial expertise in multiple RNA and DNA sequencing analysis software and pipelines. He has completed his PhD in bioscience and biotechnology, focusing on comparative genomics and transcriptomics, and has several related publications in reputed scientific journals. He worked in several R&D roles in the industry, focusing on bioinformatics data analysis, regression analysis, predictive modeling, and machine learning in metagenomics.
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Lars Melchior
Lars is a physicist, entrepreneur, and full-stack developer with 10 years of experience. Having built his own startup from scratch, he knows how to rapidly develop an MVP and bring a product to market. As an open-source library developer, he writes clean and maintainable code that's efficient and production-ready. Holding an MSc in physics, his strong research and analytical skills make him a valuable asset in almost any domain.
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Cornelis Jan Drost
Cornelis is a developer, mathematical modeler, and researcher with experience working in tech at Amazon and Biomatters, and startups at Fetch.ai and Ubiquetherm. He thrives on solving new and complex problems, learning new skills and background knowledge, and excels at communicating requirements and results. Cornelis has experience in software development and supporting skills, such as data analysis, visualization, math, simulation, and complex systems.
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