Work – Jerry Wang

Work Experience

Molsil Scientific – Union City, California, August 2023 to Present

Performed product R&D for biopharmaceutical manufacturing automation equipment (filtration, chromatography, and others). Brought one product from conception to clinical manufacturing use, including manufacturing of material used in a human clinical trial.
Designed and implemented regulatory cGMP equipment compliance. Performed installation and operational qualification.
Created flow control algorithms for bioprocessing of plasmid DNA extraction for mRNA therapeutics (Python). Built custom data processing pipeline and dashboard visualization software in a cloud environment (Plotly Dash).
Prepared and submitted 1 patent with client on advanced pDNA process control algorithms.

Boehringer Ingelheim, Biberach an der Riβ, Germany, July 2021 to July 2023

Pioneered the application of ML/AI and robotics technologies for accelerating productivity in biopharmaceutical manufacturing and development (process analytical technologies, ICH Q14).
Led a cross-functional team of scientists and technical experts to design and execute wet-lab experiments (AKTA, Tecan) and in-silico ML regression analyses (Python, SQL, tensorflow). Performed hands-on ML model fitting and validation.
Became domain expert for ML in 6 months, performing hands-on clinical-stage process development experiments in upstream and downstream operations including CHO mammalian cell culture, media optimization, TFF, glycan profiling, preparative chromatography by affinity, IEX, MMC at 0.5 to 50L scale. Performed hands-on analytical assays: ELISA, Octet, HPLC, UV, IR, Raman spectroscopy. Engineered solutions for Tecan robots using 3D printing (Fusion 360) and DAQ measurement. Supported CDMO (Rentschler, WuXi, InnoForce) partnerships.
Prepared 4 manuscripts (out of 1 per year expected), including collaborating with legal for 1 patent review. Led the publication of 2 and the review of 1 manuscript. (Publication #1) (Publication #2)
Awarded “Best Feature Presentation” (out of 16, 70% of audience votes, n~500 in annual international company-wide new technology scientific conference. Attended Recovery 2022.
Completed German language training up to B1 level in 60 lessons (out of 90 expected).

Boston Children’s Hospital, Boston, Massachusetts, December 2015 to June 2021

Mapped the human brain neural network at 22X higher resolution than prior state-of-the-art using multi-day electrical recordings from surgically implanted electrodes (Publication).
Developed Brain Computer Interface technologies, notably a new algorithm for detecting multiple spontaneous behaviors (e.g. eating, sleeping, ..) in 19 subjects over 24 hours. Preprocessed and analyzed clinical recordings of human activity included iEEG, MRI, and CT using existing and custom data science methods.
Developed a high-performance computing (HPC) pipeline using General-purpose computing on graphical processing units (GPGPU) principles and low-level tools (C/C++, OpenCL, Python, R, Verilog) to enable an analysis of a dataset 22 times larger than the prior state-of-the-art.
Designed and implemented computer networking infrastructure to accommodate the storage, analysis, and documentation of large (>100TB) datasets (GNU/Linux, NAS, RAID). Created a data storage structure (HDF5) and API (MATLAB) for data sharing with collaborators.
Developed a 3D interactive web application (click here) to communicate key findings to the broader research community (LAMP, Html, JavaScript, blender).
Mentored two undergraduate students and one graduate student

Boehringer Ingelheim, Biberach an der Riβ, Germany, August 2019 to October 2019

Investigated biopharmaceutical manufacturing process (CMC) and clinical trial results correlations using statistical data analysis of large datasets (Python). Integrated heterogeneous data formats from Phase III clinical trial results (SAS/CDISC) and clinical manufacturing (LIMS/SQL).
Designed and implemented methods for validating model predictability (MATLAB, JMP).

AstraZeneca, Gaithersburg, Maryland, July 2015 to September 2015

Developed an automated isoelectric focusing assay using liquid handling robotics (Hamilton STAR/ Venus) for biopharmaceutical development. Integrated machine outputs into existing workflows using Microsoft Excel macros (Microsoft Visual C# .NET).
Demonstrated accuracy, precision, and reliability of the automated method comparable to that of human operators, thus improving FTE productivity.

Johns Hopkins Medical Institution, Baltimore, Maryland, May 2012 to May 2015

Created an alcohol-resistant yeast strain as part of the international genetically engineered machines (iGEM) competition team (http://2012.igem.org/Team:Johns_Hopkins-Wetware).
Created synthetic blue yeast by engineering the amilCP chromoprotein gene from coral into wild type yeast. Designed a liquid handling process and image preprocessing algorithm (Labcyte Echo, Python) for creating artwork using synthetically pigmented yeasts (http://yeastart.org/art).

AstraZeneca, Gaithersburg, Maryland, July 2014 to September 2014

Characterized host cell proteins (HCPs) responsible for undesirable post-translational modifications (PTMs) for biopharmaceutical development. Performed a tryptophan oxidation assay and analyzed liquid chromatography mass spectrometry (LC-MS) results (MassLynx).
Created a statistical model for inferring the molecular weight window of HCP candidates (Matlab).

Excellgen, Rockville, Maryland, June 2010 to August 2010

Cloning, fermentation, and purification of insulin for CRO customers (gene synthesis, cloning, e. coli expression, AKTA purifier, UNICORN method, TFF)
Manuscript submitted to Siemens Competition