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Shirley Wen


Founder/CEO


● 10+ years of interdisciplinary product and managing experience, transforming traditional businesses with frontier digital technologies

● Ex hegdefund portfolio manager, focused on healthcare, TMT, and consumer

● MSc Accounting & Finance, The London School of Economics


中文|English

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Douglas McCloskey, Ph.D.


Co-founder/Chief Scientist


● Systems biologist experienced in developing automated Big Omics Data generation and analysis workflows


● Group leader, Center for Biosustainability (CfB) at the Technical University of Denmark (DTU)


● Ph.D., Bioengineering, University of California, San Diego in the Bernhard Ø. Palsson lab


● Recipient of the Siebel Scholar – awarded annually for academic excellence and demonstrated leadership to 93 top students from the worlds leading graduate schools


● Publication H-index of 21




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Dimitris Christodoulou, Ph.D.


Co-founder/Chief Strategy Officer


● Strategist & computational biologist with experience in data analytics, multi-omics integration & simulation

● Ex-Senior Consultant at Deloitte Consulting (Zurich), led the design and implementation of business and technology strategies as well as data solutions for global MNCs

● Visiting Scholar in Systems Biology, Harvard Medical School

● Ph.D. & Post-Doc, Computational Biology, ETH Zurich

● Published multiple top tier publications (i.e. Nature, Cell Systems, iScience)

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Xiaoqiang Hou, Ph.D.


Co-founder/Chief Operating Officer


● Deputy Secretary-General of Internet Hospital Association


● 20 years experience in research management, and clinical hospital management

● Research background in tumor and rare diseases, pathogenic mechanisms and vaccines

● Presided over a number of National Key Research Projects

● Ph.D. in Virology, Jilin University

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Haihong Liu, M.D.


Technical Director of Clinical Laboratory


● Ex-Medical Laboratory Specialist of General Hospital of Beijing Military Region

● Genetic Metabolic Disease Laboratory Director of Bayi Children's Hospital

● Specialized in molecular biology and immunology diagnosis


● Evaluation expert of Beijing natural science foundation


● M.D. in preventive medicine, Academy of Military Medical Sciences


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Wei Ye, Ph.D.


VP Scientific Affairs


● Head of Bioinformatics Platform, Bio-Med Big Data Center, Shanghai Institute of Biological Sciences, CAS, lead efforts of building NODE (National Omics Data Encylopedia)

● 10 years experience in multi-omics bioinformatics analysis

● Director of Bioinformatics, Shanghai Tissue Bank Co. Ltd.

● Project Assistant at Roche pRED China


● Ph.D. in Biology, Shanghai Jiaotong University

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Atefeh Kazeroonian, Ph.D.


Computational Modelling Director


● Computational biologist, experienced in mechanistic modelling and omics data integration with a focus on the immune system

● Group leader in computational biology and T cell immunology, Institute of Medical Microbiology, Immunology and Hygiene, Technical University of Munich


● Ph.D., Computational Biology, Helmholtz Center in Munich in the Fabian Theis lab


● Visiting scholar, University of California, San Francisco


● Published multiple top tier publications (i.e. Nature Immunology, PNAS, Bioinformatics)


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Robin Chan, Ph.D.


Chief Scientist, Multi-omics


● 15+ years of life science industry experience, with roles in research and business development 

● Assistant Professor in the Department of Pathology and Cell Biology, Columbia University Medical Center, specializing in lipid metabolism and neurodegenerative diseases, received research grants from the National Institute of Health (NIH) and other non-profit research foundations

● Founding director of Lipidomics Core Laboratory, Columbia University Medical Center, led numerous collaborative projects in a wide variety of fields including neurodegenerative diseases, infectious diseases, and biomarker discovery

● Business development and strategic partnership experience with products related to cancer diagnostics, cell therapy, and systems biology analytical services

● PhD, Biochemistry, National University of Singapore, in the Lab of Markus R. Wenk; MBA, Columbia Business School


● Published 40+ papers, including multiple top-tier publications (i.e. Nature, Nat Commun., Nat Neurosci., Cell Host Microbe)

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Ge Yan, Ph.D.


Senior Bioinformatics Scientist


● 10+ years of experience in bioinformatics research and analysis with a focus on pathogenesis discovery of immune-related diseases, ML-based multi-omics data analysis and pipeline construction


● Senior Bioinformatics Scientist, Institute for Immunology, Dresden, Germany, led multiple projects in immunoinformatics and systems biology

● Postdoc, Bioinformatics, BIOTEC Institute, Dresden, Germany 

PhD, Bioinformatics, China Agriculture University and Beijing Institute of Genomics, Chinese Academy of Sciences, China


● Published 10+ top-tier publications (i.e. Science Immunology, Nature Methods)

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Wei Ye, Ph.D.


Co-founder/SVP of Technology Operations


● 10+ years experience in bioinformatics research institutes and pharmaceutical companies (focus on NGS, multi-omics data analysis, CADD)


● Served as Director of the Bioinformatics Platform, Shanghai Academy of Biological Sciences, Chinese Academy of Sciences. Led multiple national omics database setup and data analysis programs

● Served at the Roche R&D Center Bioinformatics and worked on several drug discovery projects

Ph.D. in Biology (Bioinformatics), Shanghai Jiaotong University


● Published 20+ SCI papers, including 8 first-authored papers, with 500+ citations

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Careers

.

We are growing fast and are looking for talented, curious, passionate and driven people to join us. Be a part of AliveX, as we advance human health and make an impact in patient's lives by combining AI, computational biology and immunology.  


Regardless of your experience level or background, if you are sharing a passion for advancing human health, we welcome you to send your resume to: hr@alivexbiotech.com.

We are growing fast and are looking for talented, curious, passionate and driven people to join us. Be a part of AliveX, as we advance human health and make an impact in patient's lives by combining AI, computational biology and immunology.  


Regardless of your experience level or background, if you are sharing a passion for advancing human health, we welcome you to send your resume to: hr@alivexbiotech.com.

Graph neural network (GNN) engineer


Search for biomarkers and recommend drug targets


Your mission is to further develop our biomarker search and drug target identification workflow by applying GNNs over biomedical domain Knowledge Graphs (KGs).You will: 


  • Develop GNN models for search and recommendation over biomedical domain KGs in collaboration with our AI teams. 

  • Develop pre-training and fine-tuning data sets and regimes for efficiently training, fine tuning, and validating GNN models at scale using GPU servers in collaboration with our AI teams. 

  • Deploy and monitor GNN models for search and recommendation in production in collaboration with our engineering teams.

Graph neural network (GNN) engineer


Search for biomarkers and recommend drug targets


Your mission is to further develop our biomarker search and drug target identification workflow by applying GNNs over biomedical domain Knowledge Graphs (KGs).You will: 


  • Develop GNN models for search and recommendation over biomedical domain KGs in collaboration with our AI teams. 

  • Develop pre-training and fine-tuning data sets and regimes for efficiently training, fine tuning, and validating GNN models at scale using GPU servers in collaboration with our AI teams. 

  • Deploy and monitor GNN models for search and recommendation in production in collaboration with our engineering teams.

Natural language processing (NLP) engineer


Mine text for knowledge


Your mission is to further develop our NLP models and workflows for converting unstructured text found in biomedical literature, clinical studies, and electronic health records (EHRs) to subject-predicate-object triples.You will: 


  • Develop natural language models for named entity recognition (NER), relation extraction, and entity normalization in collaboration with our AI teams. 

  • Develop pre-training and fine-tuning data sets and regimes for efficiently training, fine tuning, and validating natural language models at scale using GPU servers in collaboration with our AI teams. 

  • Deploy and monitor natural language models in production in collaboration with our engineering teams.h our engineering teams.

Natural language processing (NLP) engineer


Mine text for knowledge


Your mission is to further develop our NLP models and workflows for converting unstructured text found in biomedical literature, clinical studies, and electronic health records (EHRs) to subject-predicate-object triples.You will: 


  • Develop natural language models for named entity recognition (NER), relation extraction, and entity normalization in collaboration with our AI teams. 

  • Develop pre-training and fine-tuning data sets and regimes for efficiently training, fine tuning, and validating natural language models at scale using GPU servers in collaboration with our AI teams. 

  • Deploy and monitor natural language models in production in collaboration with our engineering teams.h our engineering teams.
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More than the sum

of its parts

      

 


contact@alivexbiotech.com

 

Level 2, Merewether Building H04,


Sydney, NSW, 2006, Australia

  

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