Ho Leung 吴浩良 Ng
Consultant | AI/Computational Drug Discovery, Structural Biology, Strategy
- Role
- Founder, Computational Ai Drug Discovery Chemistry at Rise Bio
- Location
- Berkeley, CA, US
- LinkedIn followers
- 500 followers
About Ho Leung 吴浩良 Ng
Ho Leung Ng ()Seeking new opportunities in AIDD/CADD, Data Science, AI. 10+ years of experience in AI drug discovery. Also open to consulting, advising, and collaborations.Former Director of Computational Chemistry at Hexagon Bio, leader in natural products-inspired drug discovery. AI and computational drug discovery. Supported medicinal chemistry efforts in drug discovery, including target discovery, hit validation, hit optimization, hit to lead, and ADMET prediction. Worked on ADCs and macrocycles.Former Principal Scientist at Atomwise, the pioneering AI drug discovery company. Former professor of chemistry/biochemistry at Kansas State Univ. and Univ. Hawaii. Worked on nuclear receptors, GPCRs, kinases, phosphatases, MHC receptors, protein engineering, peptide design, virtual screening, and crystallography.Research interests in generative models, lead optimization, virtual screening, molecular dynamics, quantum chemistry, structural biology, AI for science. Adjunct (volunteer) Associate Professor of Biochemistry & Molecular Biophysics at Kansas State University. Author of 50+ research publications in journals such as Science, PNAS, JACS, Nature Biotechnology, Nature Methods. Co-inventor of 3 patents.Volunteer advisor for biopharma and AI startups for the accelerators, Berkeley Skydeck and Nucleate. Review applications and decks, advise startups.Founder of Open Source COVID19 (OSC19) Drug Discovery consortium.NSF CAREER awardee. 1st place in Open Source Malaria Drug SAR Competition. 4th place in Drug Design Data Resource Grand Challenges 3 and 4 for predicting drug binding affinities.I enjoy technology development, interdisciplinary collaboration, and mentoring.holeung.ng (AT) gmail.com
Experience
Founder, Computational Ai Drug Discovery Chemistry
Dec 2022 — Present · Fremont, CA, US
Hybrid AI+physics based drug discovery for drug-resistant breast cancer.
Education
UCLA
PhD, Biochemistry
1994 — 2001
Iolani School
High School
1984 — 1990
Harvard University
Bachelor of Arts - BA, Biochemistry
Harvard University
BA, Biochemical Sciences
1990 — 1994
Skills
- University Teaching
- Structural Bioinformatics
- Structural Biology
- Polymerase Chain Reaction (Pcr)
- Biochemistry
- Bioinformatics
- X-Ray Crystallography
- High-Performance Liquid Chromatography (Hplc)
- Computational Biology
- Purification
- Protein Chemistry
- Drug Design
- Spectroscopy
- Protein Purification
- Protein Engineering
- Gpcrs
- Crystallography
- Pcr
- Chemistry
- Hplc
- Protein-Protein Interactions
- Protein Crystallography
- Biophysics
- Fluorescence
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