Ming Zheng - Redwood City, California, United States | Professional Profile | LinkedIn (2024)

Activity

• We (Patrick Honcoop and I) hosted an informal meetup last month in SF South Bay and it was a very good turnout. Many people asked me if this was…

  

  We (Patrick Honcoop and I) hosted an informal meetup last month in SF South Bay and it was a very good turnout. Many people asked me if this was…

  Liked by Ming Zheng

• I am happy to share that I have obtained the certificate "Artificial Intelligence: Business Strategies and Applications" from UC Berkeley. This truly…

  

  I am happy to share that I have obtained the certificate "Artificial Intelligence: Business Strategies and Applications" from UC Berkeley. This truly…

  Liked by Ming Zheng

• We are excited to announce the launch of Dragonfly, an instruction-tuned vision-language architecture that enhances fine-grained visual understanding…

  

  We are excited to announce the launch of Dragonfly, an instruction-tuned vision-language architecture that enhances fine-grained visual understanding…

  Liked by Ming Zheng

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• Staff Data Scientist

  Mineral.ai

  Jan 2023 - Jun 2024 1 year 6 months

  Mountain View, California, United States

  Using Statistical Modeling and ML methodologies to meet the challenges in sustainable agriculture.

  Led a group of data scientists and software engineers to develop a berry yield forecast product, which is actively used by our customer and can save them millions of pounds of berries in their business operations.
  • Developed new preprocessing, feature engineering and dynamic ensemble method with Bayesian constraint (to optimally combine results from multiple forecast methods) from…

  Using Statistical Modeling and ML methodologies to meet the challenges in sustainable agriculture.

  Led a group of data scientists and software engineers to develop a berry yield forecast product, which is actively used by our customer and can save them millions of pounds of berries in their business operations.
  • Developed new preprocessing, feature engineering and dynamic ensemble method with Bayesian constraint (to optimally combine results from multiple forecast methods) from close interactions with customers to gain insight on data and business goals, explain findings and continue improving models.
  • Improved two business-critical metrics: decreased weighted absolute pct error (APE) by 5 percentage points and increased # of consistent weeks (with APE < 10%) by 11%.

  Provided solutions for crop yield modeling for multiple breeding companies and non-profit organizations.
  • Developed pipeline for yield modeling: preprocessing, validation, visualization, modeling, and reporting.
  Improved yield estimation correlation from 0.5 to 0.8 using ensemble of multiple ML models.
  • Conducted power analysis and experimental design to evaluate multiple metrics (disease presence ratio, intraclass correlation) of Mineral’s AI-based crop phenotyping platform with desired precision.
  • Designed new linear mixed model to boosted evaluation speed by >100 fold with improved accuracy.

  Quantified contributing factors to the yield of 6 major crops using linear mixed model and provided actionable feedback to our customers.
  • Applied appropriate multiple imputation method to increase sample size by 2.7X and achieved 66% R2.

  Time-series remote sensing data modeling.
  • Designed Bayesian curve fitting method and achieved median absolute deviation < 5 days to predict in-season planting date and applied to 8 corn-belts states.
  • Built ML models to classify leafy vegetables and achieved 88% overall accuracy on 3 major categories.

  3 patents, 4 spot and 15 peer bonuses.

• Senior Data Scientist

  X, the moonshot factory

  Jan 2020 - Dec 2022 3 years

  Mountain View, CA

  Using Statistical Modeling and ML methodologies to meet the challenges in sustainable agriculture

• 

  Data Scientist

  Adecco @ Google X

  Nov 2018 - Dec 2019 1 year 2 months

  Mountain View, CA

• Director of Statistical Study in Anesthesia, Senior Research Engineer

  Stanford University

  Sep 2008 - Nov 2018 10 years 3 months

  Big Data Research in Biomedical field:
  •Assembled 2X107 single nucleotide polymorphisms (SNPs) across 50 inbred mouse strains using 3X1012 base pairs of whole-genome deep sequencing data.
  •Developed new haplotype-based computational genetic mapping method to properly filter and analyze 5000 mouse traits encompassing 214,000 data points.
  •Designed statistical tools and integration approaches using cutting-edge multi-omics technologies to gain deeper insight of mapping…

  Big Data Research in Biomedical field:
  •Assembled 2X107 single nucleotide polymorphisms (SNPs) across 50 inbred mouse strains using 3X1012 base pairs of whole-genome deep sequencing data.
  •Developed new haplotype-based computational genetic mapping method to properly filter and analyze 5000 mouse traits encompassing 214,000 data points.
  •Designed statistical tools and integration approaches using cutting-edge multi-omics technologies to gain deeper insight of mapping results.

  Technical experiences with development and application of statistical modeling and machine learning methodologies to solve research problems:
  •Evaluation and comparison of multiple machine learning prediction models for vitamin response using selected genomic variants.
  •Built likelihood-based machine learning algorithm for HIV viral tropism prediction that reduced 20% error at high specificity compared to traditional methods such as SVM and position-specific multinomial model.
  •Used sparse representation and binomial modeling to detect the existence of HIV viruses who used alternative viral entry method in deep sequencing data.

  Collaborated with researchers worldwide with effective mutual communication of scientific questions and statistical analysis plans and results, which led to 30 novel discoveries published in peer-reviewed journals:
  •interacting with investigators to verify and quantify scientific questions and experimental design
  •Performing advanced statistical modeling approaches and data analysis techniques for data exploration.
  •Craft scientific stories from analysis results and communicating with investigators to make recommendations and design informed action for further studies

  Supervise lab postdoc for algorithm design and software implementation in Computational Biology research
  

• Research Biostatistician

  Hoffmann-La Roche

  Feb 2006 - Sep 2008 2 years 8 months

  Performed portfolio estimation to guide the business decision on the number of study launches.

  Developed gene expression experiment and analysis pipeline for drug research.

  Performed experimental design, algorithm development and implementation, statistical model selection, application and interpretation for colleagues across departments in the company.

  Developed novel methodologies for studies with special needs:
  •Developed a novel algorithm to analyze 2D nuclear…

  Performed portfolio estimation to guide the business decision on the number of study launches.

  Developed gene expression experiment and analysis pipeline for drug research.

  Performed experimental design, algorithm development and implementation, statistical model selection, application and interpretation for colleagues across departments in the company.

  Developed novel methodologies for studies with special needs:
  •Developed a novel algorithm to analyze 2D nuclear magnetic resonance spectroscopy (NMR) data, which led to the discovery of novel genetic factor for Tylenol-induced liver toxicity (cover story in Genome Research).
  •Applied binomial modeling for simultaneous detection of protein-DNA binding sites (motifs) in multiple sequences.
  •Used hierarchical model and dynamic programming to detect CRM (clusters of co-localized DNA-binding motifs) in DNA sequences
  •Segregated mouse genomic sequences into linkage-disequilibrium (LD) islands (high LD within islands and low LD between islands) by optimizing specially designed objective function using dynamic programming.
  

• Research Fellow/Teaching Fellow

  University of California, Los Angeles

  Sep 2001 - Dec 2005 4 years 4 months

  Pioneered data analysis of emerging ChIP-chip technology, which led to the identification of 10,567 active promoters in the human genome (published in Nature).

  Awarded "TA of the Year" (Dept. of Statistics, 2004) for excellence in teaching.

• UCLA

  Ph.D. Statistics

  2001 - 2005

  Selected coursework: Statistical Theory, Applied Statistics, Applied Regression Analysis, High Dimensional Data Analysis, Statistical Computing, Stochastic Processes, Pattern Recognition and Machine Learning.

• Peking University

  Bachelor of Science - BS Mathematics

  1996 - 2000

• Peking University

  Bachelor of Science - BS Mathematics

  1996 - 2000

• Peking University

  Bachelor of Science - BS Mathematics

  1996 - 2000

• Human hepatic organoids for the analysis of human genetic diseases

  2017

  Guan, Y., Xu, D., Garfin, P.M., Ehmer, U., Hurwitz, M., Enns, G., Michie, S., Wu, M., Zheng, M., Nishimura, T., Sage, J. and Peltz, G. (2017) Human hepatic organoids for the analysis of human genetic diseases. JCI Insight, Vol 2, e94954, 2017.

• Chimeric TK-NOG Mice: A Predictive Model for Cholestatic Human Liver Toxicity

  2015

  Xu, D., Wu, M., Nishimura, S., Nishimura, T., Michie, S.A., Zheng, M., Yang, Z., Yates, A.J., Day, J.S., Hillgren, K.M., Takeda, S.T., Guan, Y., Guo, Y., and Peltz, G. (2015) Chimeric TK-NOG Mice: A Predictive Model for Cholestatic Human Liver Toxicity. Journal of Pharmacology and Experimental Therapeutics, Vol 252, P.P. 274-280, 2015.

• The Role of Abcb5 Alleles in Susceptibility to Haloperidol-Induced Toxicity in Mice and Humans

  2015

  Zheng, M., Zhang, H., Dill, D.L., Clark, J.D., Tu, S., Yablonovitch, A.L., Tan, M.H., Zhang, R., Rujescu, D., Wu, M., Tessarollo, L., Vieira, W., Gottesman, M.M., Deng, S., Eberlin, L.S., Zare, R.N., Billard, J.M., Gillet, J.P., Li, J.B. and Peltz, G. (2015) The Role of Abcb5 Alleles in Susceptibility to Haloperidol-Induced Toxicity in Mice and Humans. PLoS Medicine, Vol 12, Issue 2, e1001782, 2015.

• The sex-determining factors SRY and SOX9 regulate similar target genes and promote testis cord formation during testicular differentiation

  2014

  Li, Y., Zheng, M. and Lau, Y.F. (2014) The sex-determining factors SRY and SOX9 regulate similar target genes and promote testis cord formation during testicular differentiation. Cell Reports, Vol 8, Issue 3, P.P. 723-733, 2014.

• Acute and chronic phases of complex regional pain syndrome in mice are accompanied by distinct transcriptional changes in the spinal cord

  2013

  Gallagher, J.J., Tajerian, M., Guo, T., Shi, X., Li, W., Zheng, M., Peltz, G., Kingery, W.S. and Clark, J.D. (2013) Acute and chronic phases of complex regional pain syndrome in mice are accompanied by distinct transcriptional changes in the spinal cord. Molecular Pain, 9:40, 2013.

• Human pharmacogenetic analysis in chimeric mice with 'humanized livers'

  2013

  Hu, Y., Wu, M., Nishimura, T., Zheng, M. and Peltz, G. (2013) Human pharmacogenetic analysis in chimeric mice with 'humanized livers'. Pharmacogenetics and Genomics, Vol 23, P.P. 78-83, 2013.

• Liquid chromatography/mass spectrometry methods for measuring dipeptide abundance in non-small-cell lung cancer

  2013

  Wu, M., Xu, Y., Fitch, W.L., Zheng, M., Merritt, R.E., Shrager, J.B., Zhang, W., Dill, D.L., Peltz, G. and Hoang, C.D. (2013) Liquid chromatography/mass spectrometry methods for measuring dipeptide abundance in non-small-cell lung cancer. Rapid Commun. in Mass Spectrom, Vol 27, P.P. 2091–2098, 2013.

• Opiate-induced changes in brain adenosine levels and narcotic drug responses

  2013

  Wu, M., Sahbaie, P., Zheng, M., Lobato, R., Boison, D., Clark, J.D. and Peltz, G. (2013) Opiate-induced changes in brain adenosine levels and narcotic drug responses. Neuroscience, Vol 228, P.P. 235-242, 2013.

• Using chimeric mice with humanized livers to predict human drug metabolism and a drug-drug interaction

  2013

  Nishimura, T., Hu, Y., Wu, M., Pham, E., Suemizu, H., Elazar, M., Liu, M., Idilman, R., Yurdaydin, C., Angus, P., Stedman, C., Murphy, B., Glenn, J., Nakamura, M., Nomura, T., Chen, Y., Zheng, M., Fitch, W.L. and Peltz, G. (2013) Using chimeric mice with humanized livers to predict human drug metabolism and a drug-drug interaction. The Journal of Pharmacology and Experimental Therapeutics, Vol 344, P.P. 388-396, 2013.

• A better prognosis for genetic association studies in mice

  2012

  Zheng, M., Dill, D. and Peltz, G. (2012) A better prognosis for genetic association studies in mice. Trends in Genetics, Vol 28, Issue 2, P.P. 62-69, 2012. (Cover Story)

• 2D NMR Metabonomic Analysis: A Novel Method for Automated Peak Alignment

  -

  Zheng, M., Lu, P., Liu, Y., Pease, J., Usuka, J., Liao, G. and Peltz, G. (2007) 2D NMR Metabonomic Analysis: A Novel Method for Automated Peak Alignment. Bioinformatics, Vol 23, P.P. 2926-2933, 2007.

• A high-resolution map of active promoters in the human genome

  -

  Kim, T.H., Barrera, L.O., Zheng, M., Qu, C., Singer, M.A., Richmand, T.A.,Wu, Y.N.,Green, R.D., and Ren, B. (2005) A high-resolution map of active promoters in the human genome. Nature, Vol 436, P.P. 876-880, 2005.

• A Pharmacogenetic Discovery: Cystamine Protects Against Haloperidol-Induced Toxicity and Ischemic Brain Injury

  -

  Zhang, H., Zheng, M., Wu, M., Xu, D., Nishimura, T., Nishimura, Y., Giffard, R., Xiong, X., Xu, L.J., Clark, J.D. Sahbaie, P., Dill, D.L. and Peltz, G. (2016) A Pharmacogenetic Discovery: Cystamine Protects Against Haloperidol-Induced Toxicity and Ischemic Brain Injury. Genetics, Vol 203, P.P. 599-609, 2016.

• A prospective observational study evaluating the ability of prelabor psychological tests to predict labor pain, epidural analgesic consumption, and maternal satisfaction

  -

  Carvalho, B., Zheng, M. and Aiono-Le Tagaloa L. (2014) A prospective observational study evaluating the ability of prelabor psychological tests to predict labor pain, epidural analgesic consumption, and maternal satisfaction. Anesthesia and Analgesia, Vol 119, Issue 3, P.P. 632-640, 2014.

• An optimistic prognosis for the clinical utility of laboratory test data

  -

  Zheng, M., Ravindran, P., Wang, J., Epstein, R.H., Chen, D.P., Butte, A.J., and Peltz, G. (2010) An optimistic prognosis for the clinical utility of laboratory test data. Anesthesia & Analgesia, Vol 111, P.P. 1026-35, 2010.

• Application of the Simple and Efficient Mpeak Modeling in Binding Peak Identification in ChIP-Chip Studies (Book Chapter)

  Tiling Arrays: Methods and Protocols. New York City, NY: Humana Press

  Other authors

  • 

• Bhmt2 is a Genetic Susceptibility Factor For Acetaminophen-Induced Liver Toxicity

  -

  Liu, H.H., Lu, P., Guo, Y., Farrell, E., Zhang, X., Zheng, M., Bosano, B., Zhang, Z., Allard, J., Liao, G., Fu, S., Chen, J., Dolim, K., Kuroda, A., Usuka, J., Cheng, J., Tao, W., Welch., K., Liu, Y., Pease, J., de Keczer, S.A., Masjedizadeh, M., Hu, J.-S., Weller, P., Garrow, T. and Peltz, G. (2010) Bhmt2 is a Genetic Susceptibility Factor For Acetaminophen-Induced Liver Toxicity. Genome Research, Vol 20, P.P. 28-35, 2010. (Cover Story)

• CD14 SNPs regulate the innate immune response

  -

  Liu, H.H., Hu, Y., Zheng, M., Suhoski, M.M., Engleman, E.G., Dill, D.L., Hudnall, M., Wang, J., Spolski, R., Leonard, W.J. and Peltz, G. (2012) CD14 SNPs regulate the innate immune response. Molecular Immunology, Vol 51, Issue 2, P.P. 112-127, 2012.

• ChIP-chip: data, model and analysis

  -

  Zheng, M., Barrera, L.O., Wu, Y.N. and Ren, B. (2007) ChIP-chip: data, model and analysis. Biometrics, Vol 63, Issue 3, P.P. 787-796, 2007.

• Computational genetic discoveries that could improve perioperative medicine

  -

  Zheng, M., Dill, D.L., Clark, J.D. and Peltz, G. (2012) Computational genetic discoveries that could improve perioperative medicine. Current Opinion in Anaesthesiology, Vol 25, Issue 4, P.P. 428-433, 2012.

• Computational Genetic Mapping in Mice: ‘The Ship has Sailed.’

  -

  Zheng, M., Shafer, S.S., Liao, G., Liu, H.H., and Peltz, G. (2009) Computational Genetic Mapping in Mice: ‘The Ship has Sailed.’ Science Translational Medicine, 1:3ps4, 2009.

• Enabling autologous human liver regeneration with differentiated adipocyte stem cells

  -

  Xu, D., Nishimura, T., Zheng, M., Wu, M., Su, H., Sato, N., Lee, G., Michie, S., Glenn, J. and Peltz, G. (2014) Enabling autologous human liver regeneration with differentiated adipocyte stem cells. Cell Transplantation, Vol 23, P.P. 1573-1584, 2014. (Media report in ScienceDaily.com)

• Evaluation of experimental pain tests to predict labour pain and epidural analgesic consumption

  -

  Carvalho, B., Zheng, M. and Aiono-Le Tagaloa L. (2013) Evaluation of experimental pain tests to predict labour pain and epidural analgesic consumption. British Journal of Anaesthesia, Vol 110, Issue 4, P.P. 600-606, 2013.

• Expression Genetics Identifies Spinal Mechanisms Supporting Formalin Late Phase Behaviors

  -

  Li, X., Sahbaie, P., Zheng, M., Ritchie, J., Peltz, G., Mogil, J.S. and Clark, J.D. (2010) Expression Genetics Identifies Spinal Mechanisms Supporting Formalin Late Phase Behaviors. Molecular Pain, 6:11, 2010.

• Fialuridine induces acute liver failure in chimeric TK-NOG mice: a model for detecting hepatic drug toxicity prior to human testing

  -

  Xu, D., Nishimura, T., Nishimura, S., Zhang, H., Zheng, M., Guo, Y.Y., Masek, M., Michie, S.A., Glenn, J. and Peltz, G. (2014) Fialuridine induces acute liver failure in chimeric TK-NOG mice: a model for detecting hepatic drug toxicity prior to human testing. PLoS Medicine, Vol 11, Issue 4, e1001628, 2014.

• Genetic discovery: the prescription for chronic pain

  -

  Zheng, M. and Peltz, G. (2010) Genetic discovery: the prescription for chronic pain. Genome Medicine, 2:82, 2010.

• Genetic susceptibility to the delayed sequelae of neonatal respiratory syncytial virus infection is MHC dependent

  -

  Tregoning J.S., Yamaguchi, Y., Wang, B., Mihm, D., Harker, J.A., Bushell, E.S.C., Zheng, M., Liao, G., Peltz, G. and Openshaw, P.J.M. (2010) Genetic susceptibility to the delayed sequelae of neonatal respiratory syncytial virus infection is MHC dependent. Journal of Immunology, Vol 185 (9), P.P. 5384-91, 2010.

• Genetically determined P2X7 receptor pore formation regulates variability in chronic pain sensitivity

  -

  Sorge, R.E., Trang, T., Dorfman, R., Smith, S.B., Beggs, S., Ritchie, J., Austin, J.S., Zaykin, D.V., Meulen, H.V., Costigan, M., Herbert, T.A., Yarkoni-Abitbul, M., Tichauer, D., Livneh, J., Gershon, E., Zheng, M., Ta, K., John, S.L., Slade, G.D., Jordan, J., Woolf, C.J., Peltz, G., Maixner, W., Diatchenko, L., Seltzer, Z., Salter, M.W. and Mogil, J.S. (2012) Genetically determined P2X7 receptor pore formation regulates variability in chronic pain sensitivity. Nature Medicine, Vol 18, Issue 4,…

  Sorge, R.E., Trang, T., Dorfman, R., Smith, S.B., Beggs, S., Ritchie, J., Austin, J.S., Zaykin, D.V., Meulen, H.V., Costigan, M., Herbert, T.A., Yarkoni-Abitbul, M., Tichauer, D., Livneh, J., Gershon, E., Zheng, M., Ta, K., John, S.L., Slade, G.D., Jordan, J., Woolf, C.J., Peltz, G., Maixner, W., Diatchenko, L., Seltzer, Z., Salter, M.W. and Mogil, J.S. (2012) Genetically determined P2X7 receptor pore formation regulates variability in chronic pain sensitivity. Nature Medicine, Vol 18, Issue 4, P.P. 595-599, 2012.

• H5N1 influenza virus pathogenesis in genetically diverse mice is mediated at the level of viral load

  -

  Boon, A.C., Finkelstein, D., Zheng, M., Liao, G., Allard, J., Klumpp, K., Webster, R., Peltz, G. and Webby R.J. (2011) H5N1 influenza virus pathogenesis in genetically diverse mice is mediated at the level of viral load. mBio, Vol 2, Issue 5, e00171-11, 2011.

• Humanized thymidine kinase-NOG mice can be used to identify drugs that cause animal-specific hepatotoxicity: a case study with furosemide

  -

  Xu, D., Michie, S.A., Zheng, M., Takeda, S., Wu, M. and Peltz, G. (2015) Humanized thymidine kinase-NOG mice can be used to identify drugs that cause animal-specific hepatotoxicity: a case study with furosemide. Journal of Pharmacology and Experimental Therapeutics, Vol 354, P.P. 73-78., 2015.

• Identification of drug targets by chemogenomic and metabolomic profiling in yeast

  -

  Wu, M., Zheng, M., Zhang, W., Suresh, S., Schlecht, U., Fitch, W.L., Aronova, S., Baumann, S., Davis, R., St Onge, R., Dill, D.L. and Peltz, G. (2012) Identification of drug targets by chemogenomic and metabolomic profiling in yeast. Pharmacogenet Genomics, Vol 22, Issue 12, P.P. 877-886, 2012.

• In Silico and In Vitro Pharmacogenetics: Aldehyde Oxidase Rapidly Metabolizes a P38 Kinase Inhibitor

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  Zhang, X., Liu, H.H., Weller, P., Zheng, M., Wang, J., Liao, G., Monshouwer, M. and Peltz, G. (2011) In Silico and In Vitro Pharmacogenetics: Aldehyde Oxidase Rapidly Metabolizes a P38 Kinase Inhibitor. The Pharmacogenetics Journal, Vol 11, P.P. 15-24, 2011.

• Metabolomic-derived novel cyst fluid biomarkers for pancreatic cysts: glucose and kynurenine

  -

  Park, W.G., Wu, M., Bowen, R., Zheng, M., Fitch, W.L., Pai, R.K., Wodziak, D., Visser, B.C., Poultsides, G.A., Norton, J.A., Banerjee, S., Chen, A.M., Friedland, S., Scott, B.A., Pasricha, P.J., Lowe, A.W. and Peltz, G. (2013) Metabolomic-derived novel cyst fluid biomarkers for pancreatic cysts: glucose and kynurenine. Gastrointestinal Endoscopy, Vol 78, P.P. 295-302, 2013.

• Next-generation computational genetic analysis: multiple complement alleles control survival after Candida albicans infection

  -

  Peltz, G., Zaas, A.K., Zheng, M., Solis, N.V., Zhang, M.X., Liu, H.H., Hu, Y., Boxx, G.M., Phan, Q.T., Dill, D. and Filler, S.G. (2011) Next-generation computational genetic analysis: multiple complement alleles control survival after Candida albicans infection. Infection and Immunity, Vol 79, Issue 11, P.P. 4472-4479, 2011.

• Profiling of ARDS Pulmonary Edema Fluid Identifies a Metabolically Distinct Subset

  -

  Rogers, A.J., Contrepois, K., Wu, M., Zheng, M., Peltz, G., Ware, L.B. and Matthay, M.A. (2017) Profiling of ARDS Pulmonary Edema Fluid Identifies a Metabolically Distinct Subset. American Journal of Physiology-Lung Cellular and Molecular Physiology, Vol 32, P.P. L703-709, 2017.

• The multiple PDZ domain protein Mpdz/MUPP1 regulates opioid tolerance and opioid-induced hyperalgesia

  -

  Donaldson, R., Sun, Y., Liang, D.Y., Zheng, M., Sahbaie, P., Dill, D.L., Peltz, G., Buck, K.J. and Clark, J.D. (2016) The multiple PDZ domain protein Mpdz/MUPP1 regulates opioid tolerance and opioid-induced hyperalgesia. BMC Genomics, Vol 17, P.P. 313, 2016.

• The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration

  -

  Liang, D.Y., Zheng, M., Sun, Y., Sahbaie, P., Low, S.A., Peltz, G., Scherrer, G., Flores, C. and Clark, J.D. (2014) The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration. BMC Genomics, 15:345, 2014.

• The Role of IL-1 in Wound Biology Part I: Murine in Silico and In vitro Experimental Analysis

  -

  Hu, Y., Liang, D., Li, X., Liu, H.H., Zhang, X., Zheng, M., Dill, D., Shi, X., Qiao, Y., Yeomans, D., Carvalho, B., Angst, M.S., Clark, J.D. and Peltz, G.. (2010) The Role of IL-1 in Wound Biology Part I: Murine in Silico and In vitro Experimental Analysis. Anesthesia & Analgesia, Vol 111, Issue 6, P.P. 1525-1533, 2010. (Cover Story & Editorial Review)

• The Role of IL-1 in Wound Biology Part II: In vivo and Human Translational Studies

  -

  Hu, Y., Liang, D., Li, X., Liu, H.H., Zhang, X., Zheng, M., Dill, D., Shi, X., Qiao, Y., Yeomans, D., Carvalho, B., Angst, M.S., Clark, J.D. and Peltz, G. (2010) The Role of IL-1 in Wound Biology Part II: In vivo and Human Translational Studies. Anesthesia & Analgesia, Vol 111, Issue 6, P.P. 1534-1542, 2010. (Cover Story & Editorial Review)

• Normalizing counts of plant-parts-of-interest

  Issued November 28, 2023 US-11830191-B2

  Other inventors

• Inferring moisture from color

  Issued August 1, 2023 US-11715296-B2

  Other inventors

• Partitioning agricultural fields for annotation

  Issued July 25, 2023 US-11709860-B2

  Other inventors

• Systems and methods for alignment of objects in images

  Issued January 11, 2011 US 11/820,939

  Systems and methods for aligning objects in object sets are provided. An object set has objects that are in a corresponding image in a plurality of images. For each respective object in a first object set, a corresponding object group is constructed that contains the respective object, thereby constructing a plurality of object groups. Similarity metrics are computed between object groups and objects in objects sets in order to assign the objects to object groups. The object groups are then…

  Systems and methods for aligning objects in object sets are provided. An object set has objects that are in a corresponding image in a plurality of images. For each respective object in a first object set, a corresponding object group is constructed that contains the respective object, thereby constructing a plurality of object groups. Similarity metrics are computed between object groups and objects in objects sets in order to assign the objects to object groups. The object groups are then refined in order to align objects in the object sets.

  Other inventors

• TA of the Year

  Dept. of Statistics, UCLA

  2004

• 1st place in Fujian Province in National High School Mathematics League (1995) and 3rd Prize in Chinese Mathematical Olympiad (1996)

  -

• 2nd Prize. National Mathematical Contest in Modeling (1997 and 1998)

  -

• Dissertation Year Fellowship (2005) and Departmental (2001-2004)

  UCLA

• Motorola (1998)/Aetna (1997)/Outstanding New Student (1996) Scholarship

  Peking University

• Excited to be able to share publicly an incredibly meaningful project that I've been a part of with Mineral - check it out!

  

  Excited to be able to share publicly an incredibly meaningful project that I've been a part of with Mineral - check it out!

  Liked by Ming Zheng