Ziming Huang - Research Scientist

Q: Where is Ziming based?

Ziming is based in Munich, Germany .

Q: What languages does Ziming speak?

Ziming speaks the following languages: Chinese (Native), English (Advanced), German (Elementary) .

Q: How many years of experience does Ziming have?

Ziming has at least 8 years of experience. During this time, Ziming has worked in at least 4 different roles and for 5 different companies . The average length of individual experience is 2 years and 6 months . Note that Ziming may not have shared all experience and actually has more experience.

Q: What is Ziming's latest experience?

Ziming's most recent position is Research Scientist at LMU Klinikum and Helmholtz München .

Q: What companies has Ziming worked for in recent years?

In recent years, Ziming has worked for LMU Klinikum and Helmholtz München , Kaggle Competition – Molecular Translation , and Shanghai Institute of Materia Medica .

Q: Which industries is Ziming most experienced in?

Ziming is most experienced in industries like Biotechnology , Healthcare , and Pharmaceutical . Ziming also has some experience in Chemical .

Q: Which business areas is Ziming most experienced in?

Ziming is most experienced in business areas like Research and Development (R&D) and Information Technology (IT) .

Q: Which industries has Ziming worked in recently?

Ziming has recently worked in industries like Biotechnology , Healthcare , and Pharmaceutical .

Q: Which business areas has Ziming worked in recently?

Ziming has recently worked in business areas like Research and Development (R&D) and Information Technology (IT) .

Recommended expert

Munich, Germany

Experience

Sep 2022 - Present

3 years 6 months

Munich, Germany

Research Scientist

LMU Klinikum and Helmholtz München

Spearheaded collaborative research projects in cardiovascular immunology, utilizing scRNA-seq analysis to elucidate the molecular mechanisms of complement component 5a signaling in innate immune macrophages
Drove the discovery and validation of novel genes and pathways in cardiomyopathies by integrating complex clinical and real-world datasets (e.g., SNP genotyping, electronic medical records)
Engineered a novel 1DCNN-Transformer hybrid architecture for miRNA-mRNA binding prediction directly from DNA sequences achieving SOTA performance with a superior AUC of 0.903 that significantly reduced false-positive rates compared to benchmark models, released on [link]

Mar 2021 - Jun 2021

4 months

AI Scientist

Kaggle Competition – Molecular Translation

Led a 4-person team to achieve 2nd place among 874 competitors (Kaggle Grandmaster Top 0.1%) in the Molecular Translation Challenge, successfully solving the critical data transformation challenge of low OCR accuracy on a large, corrupted FDA-sourced chemical molecular scanned image dataset
Engineered a 3-phase model featuring ResNet-Transformer image captioning, candidate generation, and multi-model re-ranking
Boosted model robustness by 40% through molecular-specific data augmentation, achieving an Edit Distance of 0.54 (vs. baseline 0.9+), and enabling accurate conversion of 1.6 million legacy chemical scanned images into machine-readable InChI format

Mar 2019 - Jun 2022

3 years 4 months

Shanghai, China

Research Scientist

Shanghai Institute of Materia Medica

Resolved API integration codes for models like GPT-3.5-turbo in chemical text-mining tasks, and designed batch data transfer strategies to support large-scale chemical literature processing
Conducted structure-based virtual screening to identify potential inhibitors targeting the interaction between SARS-CoV-2 spike protein receptor-binding domain and host cell angiotensin-converting enzyme 2, which is a key step in viral entry into host cells
Engineered and validated a Random Forest model for Immune Checkpoint Inhibitor (ICI) response prediction using multi-omics data from 281 cancer patients, achieving a state-of-the-art AUC of 0.85 on external validation, significantly surpassing the baseline model (AUC, 0.763), and identifying novel biomarkers enriched in crucial immune pathways

Nov 2017 - Jun 2018

8 months

Qingdao, China

Intern

BGI Genomics

Engineered a bit-parallel fuzzy regex pipeline to perform SNP-tolerant cross-species comparative genomics on five Takifugu species, enabling automated annotation of conserved genomic sites
Achieved a 10-time speedup in querying and accessing 30 GB of genome annotation data using a MySQL database (python library), significantly improving the efficiency of comparative analysis
Based on above results, automated the entire RNA-Seq analysis pipeline in Linux, from read mapping and data cleaning to gene annotation, standardizing the workflow for high-throughput data processing

Jun 2016 - Sep 2016

4 months

Wuhan, China

Data Scientist

National Mathematical Modeling Competition

Achieved the National second Prize (among Graduates) in the competition, served as lead model developer and scientific writer
Developed and applied a Logistic Regression model combined with GWAS statistical testing on 9445 SNPs to accurately identify the three most likely disease-associated loci for the target-inherited disease within 300 provided genes

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Biotechnology (7.5 years), Healthcare (3.5 years), Pharmaceutical (3.5 years), and Chemical (0.5 years).

Biotechnology

Healthcare

Pharmaceutical

Chemical

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (7.5 years) and Information Technology (0.5 years).

Research and Development

Information Technology

Skills

Programming: Python, Pandas, Scikit-learn, Pytorch, Pysql, R, Sas, Git, Jupyter, Vscode, Google Colab
Life Science: Oncology Research, Cardiology Clinical Research, Immunology, Genetics, Molecular Biology, Cell Biology
Informatics: Statistics, Mathematical Modeling, Ml&dl, Bayesian Network, Transformer, High Performance Computing (Hpc)
Bioinformatics/cheminformatics: Scrna-seq Analysis, Rna-seq Analysis, Gwas, Quantitative Structure-activity Relationship (Qsar)
Scientific: Research Project Management, Academic Writing, Teamwork

Languages

Chinese

Native

English

Advanced

German

Elementary

Education

Sep 2022 - Present

Ludwig-Maximilians-Universität München

PhD candidate in Medical Research · Medical Research · Munich, Germany

Sep 2019 - Jun 2022

University of Chinese Academy of Sciences

Master of Science in AI-assisted Drug Design · AI-assisted Drug Design · China

Sep 2014 - Jun 2018

Huazhong Agricultural University

Bachelor of Science in Bioinformatics · Bioinformatics · Wuhan, China

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Ziming based?

Ziming is based in Munich, Germany.

What languages does Ziming speak?

Ziming speaks the following languages: Chinese (Native), English (Advanced), German (Elementary).

How many years of experience does Ziming have?

Ziming has at least 8 years of experience. During this time, Ziming has worked in at least 4 different roles and for 5 different companies. The average length of individual experience is 2 years and 6 months. Note that Ziming may not have shared all experience and actually has more experience.

What roles would Ziming be best suited for?

Based on recent experience, Ziming would be well-suited for roles such as: Research Scientist, AI Scientist, Intern.

What is Ziming's latest experience?

Ziming's most recent position is Research Scientist at LMU Klinikum and Helmholtz München.

What companies has Ziming worked for in recent years?

In recent years, Ziming has worked for LMU Klinikum and Helmholtz München, Kaggle Competition – Molecular Translation, and Shanghai Institute of Materia Medica.

Which industries is Ziming most experienced in?

Ziming is most experienced in industries like Biotechnology, Healthcare, and Pharmaceutical. Ziming also has some experience in Chemical.

Which business areas is Ziming most experienced in?

Ziming is most experienced in business areas like Research and Development (R&D) and Information Technology (IT).

Which industries has Ziming worked in recently?

Ziming has recently worked in industries like Biotechnology, Healthcare, and Pharmaceutical.

Which business areas has Ziming worked in recently?

Ziming has recently worked in business areas like Research and Development (R&D) and Information Technology (IT).

What is Ziming's education?

Ziming holds a Doctorate in Medical Research from Ludwig-Maximilians-Universität München, a Master in AI-assisted Drug Design from University of Chinese Academy of Sciences and a Bachelor in Bioinformatics from Huazhong Agricultural University.

What is the availability of Ziming?

Ziming is immediately available full-time for suitable projects.

What is the rate of Ziming?

Ziming's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.