Open to opportunities

Neil Chowdhury

@neilchowdhury

Computational drug discovery and biomedical researcher focused on transforming molecular data into actionable therapeutic opportunities.

United States

Message

What I'm looking for

I’m looking for a team where I can combine computational drug discovery with translational impact—building AlphaFold/DiffDock/ADMET workflows and partnering on research-to-licensing decisions for orphan drug and CNS opportunities.

I’m a computational drug discovery and business development intern who supports translational therapeutic decisions with rigorous molecular and analytical work. At Convexia AI, I performed diligence on orphan drug and rare pediatric disorder assets, supported licensing strategy by researching high-potential targets, and collaborated on viral capsid evaluations for enhanced blood-brain barrier penetration and CNS delivery—leading a single-asset orphan drug deal involving TfR1 CapX. I also built computational workflows using AlphaFold, DiffDock, and ADMET tools to evaluate binding efficacy, pharmacokinetics, and candidate peptide sequences for wet-lab validation.

My research background strengthens my ability to move from structure and assay data to mechanistic hypotheses. In my undergraduate research at Hospital Universitari de Bellvitge, I analyzed cryo-EM structural data, designed target mutations to transform a nanobody into an agonist, and carried out wet-lab steps including bacterial transformation, plasmid mini preparation, Ni-NTA affinity chromatography, and calcium functional assays in functional HEK cells. I’ve also run animal behavior and downstream tissue workflows at Tufts Graduate School of Biomedical Sciences, pairing fluorescence microscopy with supervised machine learning pipelines for image-based quantification and estrous cycle stage classification, using Prism for statistical testing—work I’ve connected to published research on engineering a nanobody that shifts μ-opioid receptor activity from antagonist to agonist.

Experience

Work history, roles, and key accomplishments

Current

Business Dev & Drug Discovery Intern

Current

Convexia AI

Mar 2026 - Present (3 months)

Performed diligence on orphan drug and rare pediatric disorder assets, assessing investment potential for PRV designation and/or clinical repurposing. Built computational workflows (AlphaFold, DiffDock, ADMET) to evaluate binding efficacy and candidate peptide sequences, and led outreach supporting a single-asset orphan drug deal for TfR1 CapX.

Business Development Computational Drug Discovery AlphaFold DiffDock Viral Capsid Assessment Peptide Sequence Design PRV Strategy

Undergraduate Student Researcher

Hospital Universitari de Bellvitge

May 2025 - Aug 2025 (3 months)

Analyzed cryo-EM structural data to identify NbE–muOR interactions and engineered NbE from antagonist activity toward agonist-like signaling by designing 5 orthosteric-site mutations. Conducted wet-lab cloning, nanobody purification (Ni-NTA affinity), and calcium functional assays in HEK cells to measure functional differences after morphine/NbE treatment.

Cryo EM Data Analysis Nanobody Engineering Site Directed Mutagenesis Ni NTA Affinity Chromatography Calcium Functional Assays HEK Cell Experiments

Undergraduate Research Assistant

Tufts Graduate School of Biomedical Sciences

Jan 2024 - Aug 2024 (7 months)

Ran mouse studies comparing environmental enrichment vs. standard housing, conducting anxiety-like behavior tests and threat discrimination protocols, and quantified outcomes using freezing metrics and a discrimination index. Processed brain tissue for histology and fluorescence microscopy, then built supervised machine-learning pipelines to classify cells and estrous-cycle stages and applied Pris

Animal Behavioral Assays Environmental Enrichment Studies Threat Discrimination Protocols Data Analysis Histology Image Classification Thresholding Estrous Cycle Quantification

Education

Degrees, certifications, and relevant coursework

Cornell University

Bachelor of Arts, Biological Sciences (Neurobiology)

Grade: 3.48

Activities and societies: Honors Program in Biological Sciences; Division 1 student-athlete on Cornell Track & Field Team; GPA 3.48. Relevant coursework included Neurobiology, Pharmacology, Organic Chemistry, Stem Cells and Regeneration, and Medical Spanish.

Bachelor of Arts in Biological Sciences with a concentration in Neurobiology, along with a minor in Biomedical Engineering. Completed honors in the Biological Sciences program and served as a Division I student-athlete on Cornell Track & Field.

Tufts University

Bachelor of Science, Biomedical Engineering

2023 - 2024

Grade: 3.77

Activities and societies: Division 3 student-athlete on Tufts Track & Field; NCAA Academic All American; GPA 3.77. Relevant coursework included Biothermodynamics, Biostatistics, Biochemistry, Physics 1 & 2, and Cell and Molecular Biology.

Bachelor of Science in Biomedical Engineering, completed from August 2023 to May 2024. Graduated with honors as a Division 3 student-athlete and NCAA Academic All American.