Expert Biotechnology Consulting Services
Transforming R&D with strategic insights and solutions.

Transforming R&D with strategic insights and solutions.


At Medsyn Consulting, our story began with a passion for helping businesses succeed. Our founders saw a need for personalized, results-driven consulting services, and set out to create a company that would meet that need. Today, we continue to uphold that same passion and commitment to excellence.

We offer a variety of consulting services at Medsyn Consulting, including drug marketing, R&D strategy, lab operations, and more - including AI related LLM evaluation services. As experts in each of these areas, and we work together to provide our clients with comprehensive solutions that meet their unique needs.

At Medsyn Consulting, we believe that collaboration is key to success. We work closely with our clients to understand their challenges and goals, and develop solutions that are tailored to their unique needs. Our approach is transparent, results-driven, and designed to help businesses thrive.
At MedSyn Consulting, we provide specialized consulting services to the biotechnology and pharmaceutical industries, leveraging over 25 years of expertise in medicinal chemistry, computational chemistry, drug discovery, and the integration of AI/ML technologies.
Our mission is to empower clients with innovative strategies that accelerate R&D processes, enhance decision-making, and drive the development of novel therapeutics. Whether you're a startup navigating early-stage discovery or an established firm optimizing preclinical pipelines, our tailored solutions combine deep scientific knowledge with cutting-edge computational tools to address unmet needs in drug development.

We assist in structure-based drug design, hit-to-lead generation, and lead optimization strategies. Utilizing computational & AI tools, we help design molecules with optimal ADMET properties, interpret structure-activity relationships (SAR), and predict synthetic feasibility.
Expertise in synthetic route scouting, building block synthesis, and automated chemistry methods. We support parallel synthesis campaigns, fragment-based drug design, and the development of novel synthetic methodologies to expand chemical diversity for targets in oncology, infectious diseases, metabolic disorders, and neurological conditions.
We conduct thorough evaluations of therapeutic targets, including biochemical assays, structural biology insights, and homology modeling. Our services include target prep, high-throughput virtual screening, and computational analysis to identify viable hits and assess druggability.
Guidance on DEL screening, library design, and hit identification. We collaborate with screening groups to source building blocks and plan libraries that integrate with AI-driven workflows for efficient compound selection.
Provide consulting services assist pharmaceutical and biotech companies in early-stage drug discovery fragment-based drug design (FBDD). These services often include assistance in library design, biophysical or biochemical screening techniques, help in hit validation, and advisement on fragment elaboration into lead compounds through structure-based optimization. Additional offerings encompass assistance in computational modeling, structural biology for binding insights, and integration with other discovery strategies to accelerate development while enhancing chemical diversity and reducing risks in traditional high-throughput screening.
From ADME/DMPK optimization to preclinical candidate selection, we provide intellectual property expertise, project management, and coordination with CROs to ensure smooth progression toward IND submissions.
These services are informed by extensive experience working with many organizations, large and small pharmaceutical companies, biotechnology startups and prestigious academic institutions.

At MedSyn Solutions, I offer specialized consulting services for evaluating large language model (LLM) performance in the chemistry domain that includes chemical-biology, synthetic chemistry, structural biology and computational chemistry subdomains and many more related to drug discovery. Leveraging my Ph.D. in Organic Chemistry and over 25 years of experience in medicinal chemistry, drug discovery, synthetic organic chemistry, and computational chemistry— including contributions to two FDA-approved drugs (Nuzyra and Seysara) and the 2019 ACS Heroes of Chemistry Award—I provide expert assessment of AI systems' capabilities in handling complex chemical concepts.
My services focus on the custom generation of professional prompts and comprehensive evaluation rubrics tailored to rigorously test and assess LLM responses. This includes: a tailored financial plan that helps you achieve your business goals.
My approach centers on the development of highly targeted prompts designed to rigorously evaluate large language models (LLMs) within multiple areas of chemistry. These prompts are tailored to challenge LLMs in medicinal chemistry, synthetic organic chemistry, retrosynthesis planning, ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) prediction, and computational drug design.
Each prompt is carefully crafted to simulate real-world scenarios encountered by chemists, such as designing synthetic routes for novel compounds, analyzing structure-activity relationships (SAR), predicting ADMET properties that influence drug safety and efficacy, and interpreting data from molecular modeling studies. This ensures that LLMs are tested not only on theoretical knowledge but also on their practical reasoning and problem-solving abilities.
Drawing from extensive experience with advanced tools like many top computational platforms, I ensure that every prompt is both scientifically accurate and relevant to current research and industry practices. This precise focus allows each prompt to reliably reveal both the strengths and the limitations of LLMs in chemical reasoning, providing valuable insights into their performance across a spectrum of chemical challenges.
Evaluation rubric design involves the creation of detailed, high-complexity frameworks that rigorously measure the performance of large language models (LLMs) in chemistry. These rubrics are structured to assess LLM accuracy, reasoning depth, reproducibility, and adherence to core chemical principles. The evaluation spans multiple subdomains, including computational drug design, retrosynthesis prediction, and hit-to-lead optimization. Each rubric incorporates validation protocols that benchmark LLM responses against established scientific standards, ensuring that assessments are both comprehensive and aligned with professional expectations.
Comprehensive and reproducible scoring frameworks are developed to calibrate assessments to professional chemistry standards. These rubrics examine scientific accuracy, synthetic feasibility, and mechanistic understanding within LLM outputs. Additionally, they evaluate the model’s ability to appropriately handle uncertainty, distinguishing responses that are superficially plausible from those that reflect genuinely expert-level reasoning.
To rigorously assess LLM capabilities, I design domain-specific test sets that target key areas in chemistry, including reaction prediction, structure-activity relationship (SAR) interpretation, retrosynthetic analysis, and drug-likeness assessment. Each test set is constructed with validated ground-truth answers, allowing for precise benchmarking and objective evaluation of model outputs. This structured approach ensures that the evaluation process is thorough and aligned with established scientific standards, providing clear insights into model performance and areas for improvement.
Application of AI/ML in Drug Discovery Workflows
I provide expert guidance on implementing artificial intelligence and machine learning within drug discovery pipelines. My consulting services cover the integration of advanced AI models across various stages of drug research, ensuring that workflows benefit from the latest technological advancements while maintaining scientific rigor.
Model Validation for Key Therapeutic Areas
My experience includes validating AI/ML models in critical therapeutic domains such as oncology, infectious diseases, and metabolic disorders. I help organizations ensure that their AI solutions are robust, reliable, and tailored to the specific scientific challenges of each therapeutic area.
AI Due Diligence for Investments
I conduct thorough due diligence assessments for AI-related investments in the pharmaceutical and biotech sectors. These evaluations provide clear insights into the maturity, scalability, and scientific validity of AI platforms, supporting sound investment decisions.
Training and Educational Programs
I offer targeted training programs that bridge the intersection of chemistry and artificial intelligence. These sessions are designed to upskill research teams and leadership, enabling them to effectively leverage AI technologies for enhanced discovery and innovation.
Grant Support: AI Methodology Sections
My services include contributing to grant applications by developing clear and compelling AI methodology sections. I ensure that the proposed approaches meet the expectations of funding agencies and reflect best practices in AI-driven chemical research.
These services ensure AI systems deliver reliable, scientifically accurate insights, accelerating innovation in pharmaceutical R&D. Contact me to discuss how my expertise can enhance your AI initiatives.
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