Yuhang Jiang

Senior Director @ Abogen Biosciences

About

✔ Formulation scientist with a focus on mRNA delivery. ✔ Hands-on experience with LNP production/purification/characterization.

Country

China

City

Jiangsu

Industry

Pharmaceuticals

Skill

Drug Delivery, Protein Chemistry, Protein Formulation, Pharmacokinetics, Physical Chemistry, HPLC, Immunohistochemistry, Cell Culture, Western Blotting, Nanoparticles, Protein Purification, Fluorescence, ELISA, Molecular Biology, FPLC, Biochemistry, UV/Vis, SDS-PAGE, Dynamic Light Scattering (DLS), Neuropharmacokinetics (NeuroPK)

Experience

Senior Director

Abogen Biosciences

2024-1 - Present · 2 yrs 9 mos

Suzhou, Jiangsu, China

Associate Director

Abogen Biosciences

2021-1 - 2023-12 · 3 yrs

Suzhou, Jiangsu, China

Principal Scientist

Abogen Biosciences

2020-1 - 2020-12 · 1 yr

Suzhou, Jiangsu, China

Senior Scientist

Abogen Biosciences

2019-4 - 2019-12 · 9 mos

Suzhou, Jiangsu, China

Postdoctoral Associate

Yale University

2016-12 - 2019-4 · 2 yrs 5 mos

New Haven, CT

Research Assistant

The University of North Carolina at Chapel Hill

2012-9 - 2016-10 · 4 yrs 2 mos

4230H Marsico Hall, 125 Mason Farm Road, Chapel Hill, NC, 27514

★ Conducted formulation research on a wide range of protein therapeutics, and performed quality control for each batch of protein formulation. ★ Coordinated a research team from 3 different campuses to finish a comprehensive project including polymer synthesis and characterization, Cu/Zn superoxide dismutase (SOD1) formulation, in vitro toxicity evaluation, biodistribution, pharmacokinetics, and therapeutic effect testing on a mice ALS model. ★ Independently developed a gel-based screening system for the formulation of Brain Derived Neurotrophic Factor (BDNF). ★ Mentored 3 rotation students, 1 undergraduate student, and 1 PharmD student. Two of them won honor awards as a result from their research.

Summer Intern

Merck

2016-6 - 2016-8 · 3 mos

Rahway, NJ, USA

Conduct accelerated stability tests for peptide drugs and quantify the amount of degradants with RP-HPLC; Optimize strategy for such studies with statistical approaches including Monte Carlo and Bootstrap simulations.