Song Research Group - Presentations

2023

  • Hofmockel K, Lipton M, Bramer L, Bell S, Nelson W, and Song, Drought rewet effects on soil microbial metabolism and activity, 2023 ESA Annual Meeting, Portland, OR, Aug 6 - 11, 2023.
  • Garayburu-Caruso V, Song HS, Goldman A, Renteria L, McKever S, Laan M, Rod K, Delgado D, and Stegen J, Drivers and Impacts of Organic Matter Thermodynamics at Terrestrial-Aquatic Interfaces: A Review and Future Vision, 2023 ESA Annual Meeting, Portland, OR, Aug 6 - 11, 2023.
  • Park SH, Song B, and Song HS, Differential response of nitrate-reducing synthetic communities to varying carbon-to-nitrogen ratio, The Eighth International Conference on Nitrification and Related Processes (ICoN8), Princeton, NJ, July 30 - August  3, 2023.
  • Song HS, From Data to Discovery: Advanced Applications of Data-Driven Modeling, Department of Chemical and Biological Engineering, Korea University, July 31, 2023. (invited seminar)
  • Song HS, Ahamed F, Lee JY, Henry CS, Edirisinghe J, Nelson W, Chen X, Moulton D, and Scheibe T, Machine Learning-Based Coupling of Flux Balance Analysis with Reactive T ransport Models for Rapid and Stable Simulation of Microbial Metabolic Switching, Metabolic Pathway Analysis, Seoul, Korea, July 24 - 27, 2023.
  • Ahamed F, Song  HS, Brown DML, Henry CS, Edirisinghe JN, Kessell AK, Nelson WC, McDermott JE , and Hofmockel KS, Omics Guided Global Gapfilling for Phenotype Consistent Metabolic Network Reconstruction, Metabolic Pathway Analysis, Seoul, Korea, July 24 - 27, 2023.
  • McCullough HC, Auchtung JM and Song HS, A Metacommunity Model to Characterize Dynamics and Interspecies Interactions from Two Traceable Communities in a Bioreactor System, Metabolic Pathway Analysis, Seoul, Korea, July 24 - 27, 2023.

  • Kessell AK, Ahamed F, Henry CS, Edirisinghe J, Sadler NC, Nelson WC, McClure RS, Hofmockel KS, and Song HS, 

    Impacts of Bioenergetic Costs of Chitin Decomposition on Degrader Metabolism and Their Interactions with Cheaters, Metabolic Pathway Analysis, Seoul, Korea, July 24 - 27, 2023.

  • Song HS, Haruta Shin, an Ramkrishna D, Return on investimen (ROI) in microbial metabolsm and interactions, Summer School for Open Book: Economi Principles in Cell Biology, Paris, France, July 10 - 14, 2023. (invited lecture) 
  • Manokaran V, Hands-on session for AUMIC (AUtomated tool for Metabolic modeling Integrated with the Cybernetic regulatory mechanisms), Workshop on Modeling and Data Integration for Control and Optimizatoin of Chemical and Biological Systems, IFAC World Congress 2023, Yokohama, Japan, July 9 - 14, 2023.
  • Song HS, Cybernetic Modeling to Predict Complex Dynamics in Microbial Growth, Workshop on Modeling and Data Integration for Control and Optimizatoin of Chemical and Biological Systems, IFAC World Congress 2023, Yokohama, Japan, July 9 - 14, 2023.
  • Jung H, Meile C, Song HS, Asgari S, and Lim S, Resolving environment-microbe feedback at the pore scaling using a reactive transport model integrated with genome-enabled microbial metabolism, Goldschmidt 2023 Conference, Lyon, France, June 27 to July 9 - 14, 2023. 
  • Jung H, Meile C, Song HS, Asgari S, and Lim S, Resolving complex microbial dynamics in subsurface environments via genome-enabled reactive transport modeling, The Joint Conference of Four Mathematical Biology Societies of China, India, Japan, and Korea, Jeju island, June 27 to July 1, 2023. (invited talk) 
  • Hernandez J et al., Constructing a network graph of correlations between microbial taxa and fecal metabolites in the gut of captive marmosets (Callithrix jacchus), 2023 American Socienty of Primatologist (ASP) Annual Conference, Reno, NV, June 20, 2023.
  • Song HS, Machine Learning for High Resolution Representation of Microbial Processes in Reactive Transport Models, 2023 Environmental System Science (ESS) Program Annual PI Meeting, Bethesda, MD, and virtually on May 16-17, 2023. (invited talk)
  • Song HS, Ahamed F, Lee JY, Henry C, Edirisinghe J, Nelson W, Chen X, Moulton D, and Scheibe T, Machine Learning Enables Computationally Efficient and Stable Integration of Genome-Scale Metabolic Networks with Reactive Transport Models to Predict Microbial Metabolic Switching, 2023 Environmental System Science (ESS) Program Annual PI Meeting, Bethesda, MD, and virtually on May 16-17, 2023. 
  • Jiang P, Li Z, Hammond G, Muller K, Song HS, Garayburu-Caruso V, Kaufman M, Fulton S, Stegen J, and Chen X, Integrated Modeling of Carbon and Nitrogen Cycling at the Yakima River Basin, 2023 Environmental System Science (ESS) Program Annual PI Meeting, Bethesda, MD, and virtually on May 16-17, 2023.
  • Song HS, Integrating Tools in KBase for Automated Fitting of Metabolic Models to Multi-omics and Growth Phenotype Data, 2023 Genomic Sciences Program Annual PI Meeting, Bethesda, MD, April 17 - 19, 2023. (invited talk)
  • Song HS, Ahamed F, Brown Jr. DML, Henry CS, Edirisinghe JN, Kessell AK, Nelson WC, McDermott JE, and Hofmockel KS, OMEGGA: A computationally efficient omicsguided global gapfilling algorithm for phenotypeconsistent metabolic network reconstruction. 2023 Genomic Sciences Program Annual PI Meeting, Bethesda, MD, April 17 - 19, 2023.
  • Kessell AK, Ahamed F, Song HS, Metabolic Network Modeling Reveals the Impact of Bioenergetic Costs in Chitin Degradation on Microbial Metabolism and Interactions, UNL Student Research Days, UNL, March 28 - 29, 2023.
  • Song HS, Microbial intelligence in growth and interactions predicted by AI modeling, Research Meeting: Principles of Microbial Ecosystems, Tokyo Metropolitan University, Tokyo, Japan, March 14, 2023. (invited talk)
  • Song HS, Microbial Community Modeling for Non-Modelers: [Part I] Theoretical community ecology; [Part II] Network inference; [Part III] Metabolic network modeling, Special Lectures to Department of Biological Sciences, Tokyo Metropolitan University, Tokyo, Japan, March 13, 2023. (invited lectures)
  • Hugh MC, Song HS, Auchtung JM, Defined Gastrointestinal Community Responses to Vancomycin Perturbation in a Bioreactor System, Meeting of the Missouri Valley Branch of the American Society of Microbiology, Kansas State University, Manhattan, KS, March 10 - 11, 2023.

  • Song HS, Infrastructure to support rapid response work in computational biology and predictive modeling,

    National Virtual Biosecurity of Bioenergy Crops Center (NVBBCC) Planning Meeting (organized by Department of Energy), Virtual, February 22 - 23, 2023. (invited participation with a flashtalk)  

2022

  • Song HS, Modeling of Context-dependent Interspecies Interactions: No Permanent Friends or Enemies in the Microbial Jungle, Complex Systems Biology (CBIO) Seminar, UNL, December 1, 2022. (invited seminar)
  • Song HS, Data-driven and metabolic network modeling to predict context-dependent microbial interactions and community dynamics in soil systems, Center for Plant Science Innovation (PSI) Retreat 2022, Nebraska City, NE, November 10 – 11, 2022. (invited talk)
  • Lee N, Brake JS, Kim HJ, Lee JK and Song HS, A combined analysis of metabolic networks and transcriptomic data to predict the impacts of copper deficiency on the liver metabolism, 2022 AIChE Annual Meeting, Phoenix, AZ, November 13-18, 2022. 
  • Ahamed F, Zhang S, Song HS, Knowledge-Informed Data-Driven Modeling for Robust Prediction of Microbial Inactivation in Food, 2022 AIChE Annual Meeting, Phoenix, AZ, November 13-18, 2022.
  • Song HS, Park CM, Jang S, Kim JS, Ryu HC, Seong H, Data-driven QSAR Modeling for the Iterative Identification of Chemical Motifs from Limited Data, 2022 AIChE Annual Meeting, Pheonix AZ, November 13-18, 2022.
  • Ahamed F, Data-driven identification of microbial sensors differentiating the impacts of starch variants on gut microbiome, Nebraska Food for Health Center (NFHC) Works in Progress, Lincoln, NE, October 28, 2022.
  • Lee N, Metabolic network modeling of the coupled impacts of copper deficiency and diets on the liver metabolism, Nebraska Food for Health Center (NFHC) Works in Progress, Lincoln, NE, October 28, 2022.
  • Scheibe TD, Chen X, Myers-Pigg AN, Stegen JC, Barnes ME, Bladon KD, Chen Y, Garayburu-Caruso VA, Goldman AE, Grieger SR, Kaufman MH, Mudunuru MK, Rod K, Scheibe DA, Son K, Song HS, Song X, Zheng J, Experiencing the Science of Team Science in a Multidisciplinary Earth Science Project, The 13th Annual International Science of Team Science Conference, Bethesda, MD, July 31 – August 3, 2022.
  • Song HS, Data-Driven Modeling of Microbial Intelligence and Complexity, Online Seminar, The Prospective Centre of Excellence for Network Systems (CENS) Learning, Control, and Evolution, Indian Institute of Technology Madras (IIT Madras), August 10, 2022. (invited seminar)
  • Song HS, Data-Driven Modeling for Microbiology, Microbial Ecology, and Drug Discovery: Challenges and Breakthroughs, LG Science Park, Seoul, Korea, June 28, 2022. (invited seminar)
  • Phalak P, Bernstein HC, Lindemann SR, Renslow RS, Thomas DG, Henson MA, and Song HS (2022). Spatiotemporal Metabolic Network Models Reveal Complex Autotroph-Heterotroph Biofilm Interactions Governed by Photon Incidences, The 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS), Busan, Korea, June 14 – 17, 2022.
  • Song HS, Omics integration for predictive biogeochemical and reactive transport modeling, A Quarterly Webinar organized by SoilSystems (Deutsche Forschungsgemeinschaft (DFG) joint research program in Germany), June 1, 2022. (invited seminar)
  • Song HS, Data-Driven Modeling of Microbial Intelligence and Complexity, Food Science Seminar at Purdue University, West Lafayette, IN, May 12, 2022. (invited seminar)
  • Zhang S, Ahamed F, and Song HS, Knowledge-informed Data-driven Modeling of Microbial Inactivation in Food, Nebraska Research Days, UNL, April 11 - 12, 2022.
  • Ahamed F, Zhang S, and Song HS, Data-driven model identification for microbial inactivation processes in food, Food Science and Technology Research Symposium, Lincoln, NE, April 4, 2022. 
  • Song HS, Park CM, Jang S, Kim JS, Ryu HC, and Seong H, Integration for Innovation: Coordinated Design of Data-Driven and Experimental Study for Accelerating Drug Discovery, 2022 KOMETS (Korea Metabolomics Society) Annual Symposium and General Meeting, BEXCO, Busan, Korea, March 30 – April 1, 2022. (keynote presentation)
  • Song HS, Lee JY, Firnaaz A4, Aimee KK3, Nelson WC, Brown Jr. DML, Henry CS, Edirisinghe JN, and Hofmockel KS, Omics-enabled global gapfilling (OMEGGA) for phenotype-consistent metabolic network reconstruction of microorganisms and communities, Genomic Sciences Program Annual Principal Investigator (PI) Meeting, Virtual, February 28 –March 2, 2022. 

2021

  • Ahamed F, Stegen JC, Graham EB, Scheibe TD, and Song HS, An Optimal Control Theory-based Microbial Regulation Model to Offer a Generalizable Theory for Priming Effects, American Geophysical Union (AGU) Fall Meeting (Hybrid), New Orleans, LA, December 13 – 17, 2021.
  • Song HS, Ahamed F, Lee JY, Stegen J, Moulton D, Chen X, and Scheibe T, Data-Driven Modeling for Classification and Characterization of Metabolite Data in River Corridor: The Power of Feature Engineering, American Geophysical Union (AGU) Fall Meeting (Hybrid), New Orleans, LA, December 13 – 17, 2021.
  • Song HS, Lee JY, Nelson W, Henry C, Edirisinghe J, Moulton D, Chen X, and Scheibe T, Machine Learning to Speed Up Dynamic Flux Balance Analysis (FBA) and FBA-based Reactive Transport Simulations, 2021 AIChE Annual Meeting (Hybrid), Boston, MA, November 7–19, 2021.
  • Song HS, Data-Driven Modeling for Microbial Ecology and Drug Design, Korea Research Institute of Chemical Technology, Daejeon, Korea, November 24, 2021. (invited seminar)
  • Song HS, Understanding Microbial Intelligence Using AI Modeling, Korea University, Seoul, Korea, November 23, 2021. (invited seminar)
  • Song HS, Understanding Microbial Intelligence Using AI Modeling, Hanyang University, Seoul, Korea, November 18, 2021. (invited seminar)
  • Song HS, Modeling Microbial Intelligence and Complex Dynamics: Data-Driven Approaches, LG Science Park, Seoul, Korea, November 18, 2021. (invited seminar)
  • Song HS, Data-Driven Modeling to Understand Microbial Intelligence and Complexity, Sungkyunkwan University, Suwon, Korea, November 17, 2021. (invited seminar)
  • McCullough HC, Auchtung JM, and Song HS, A Coordinated Modeling-Experimental Design Reveals the Controlling Effect of Substrate Diversity on Microbial Populations and Interactions Among Human Gut Microbiota, 2021 AIChE Annual Meeting (Hybrid), Boston, MA, November 7–19, 2021.
  • Lee N, Brake J, Kim H, Lee J and Song HS, Impacts of dietary copper on macronutrient metabolism predicted by modeling, Agriculture & Health Summit, Virtual Event, October 11–13, 2021.
  • McCullough HC, Song HS, and Auchtung JM, Influence of Substrate Diversity on Interspecies Interactions between Human Fecal Bacteria, Agriculture & Health Summit, Virtual Event, October 11–13, 2021.
  • Sengupta A, Garayburu-Caruso VA, Fansler SJ, Chu RK, Danczak RE, Garcia M, Goldman AE, Graham EB, Kaufman MH, Renteria L, Sandborn D, Song HS, Torgeson J, Toyoda J, Coastal Consortium, WHONDRS Consortium, and Stegen JC, Global Trait-Based Chemogeography of Organic Matter Thermodynamics, 2021 Environmental System Science (ESS) PI Meeting, Held Online, August 17 – 19, 2021.
  • Lee N, Brake J, Kim H, Lee J and Song HS, Omics and Metabolic Network Integration to Predict the Impacts of Copper Dysregulation on the Liver Functions and Energy Metabolism, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • Song HS, Kessell AK, Lee NR, Kang Z, Lee DY, Integration of Metabolic, Ecological, and Kinetic Models to Predict the Dynamics in Context-Dependent Microbial Interactions, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • Ahamed F, Stegen J, Graham E, Sheibe T, and Song HS, A cybernetic trait-based model identifies microbial regulation as a key driver of priming effects, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • Ahamed F, Song HS, Ho YK, Integrative Modeling of Enzymatic Coordination of Saccharification and Fermentation in Consolidated Bioprocessing of Cellulose, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • Kessell AK, Song F, PNNL Summer School Consortium, Edirisinghe JN, Henry CS, Wrighton K, Stegen JC, Scheibe TD, and Song HS, Metabolic Network and Metabolomics Integration to Predict Shifts in Microbial Processes Across Globally-Distributed River Corridors, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • Kessell AK, McClure RS, Farris Y, Nelson WC, Henry CS, Edirisinghe JN, Hofmockel KS, Jansson JK and Song HS, Metabolic Network Modeling of Degrader-Cheater Interactions in A Chitin-Decomposing Model Soil Community, 2021 Metabolic Pathway Analysis, Knoxville, TN, August 2–6, 2021.
  • McCullough HC, Song HS, and, Auchtung JM, Substrate Diversity Controls Interspecies Interactions in Human Fecal Bacterial Communities, ASM Microbe 2021 – World Microbe Forum, Held Online June 20–24, 2021.
  • Graham EB, Song HS, Grieger S, Garayburu-Caruso V, Stegen J, Bladon K, and Myers-Pigg A, Inferred bioavailability of pyrogenic organic matter in comparison to natural organic matter from global sediments and surface waters, vEGU21, the 23rd EGU General Assembly, Held Online April 19–30, 2021.
  • McCullough HC, Auchtung JM, and Song HS, Influence of Substrate Diversity on Interspecies Interactions between Human Fecal Bacteria, The Joint Meeting of the Missouri and Missouri Valley Branches of ASM, Held Online March 19–20, 2021.
  • Song HS, Sadler NC, Lee JY, Bhattacharjee A, Anderton CR, McClure RS, Zegeye E, Hofmockel KS, and Jansson JK, Prediction of Spatial Assemblies in Soil Microbiomes Governed by Interspecies Interactions and Environmental Gradients, Genomic Sciences Program Annual Principal Investigator (PI) Meeting, Virtual, February 22 – 24, 2021.
  • Kessell A, Song F, PNNL Summer School Consortium, Edirisinghe J, Henry C, Wrighton K, Stegen J, Scheibe T, and Song HS, Metabolic Network and Metabolomics Integration to Predict the Shifts in Microbial Processes Across Globally-Distributed River Corridors, Genomic Sciences Program Annual Principal Investigator (PI) Meeting, Virtual, February 22 – 24, 2021. (invited talk)
  • McClure R, Farris Y, Davison M, Sadler N, Song HS, Danczak R, Nelson W, Wu R, Naylor D, Hofmockel KS, Jansson JK, Interspecies Interactions During Chitin Decomposition in a Naturally Enriched Model Soil Microbial Consortium, Genomic Sciences Program Annual Principal Investigator (PI) Meeting, Virtual, February 22–24, 2021.

2020

  • Song HS, Henry C, Lee JY, Nelson W, Edirisinghe J, Zheng J, Moulton D, Chen X, Graham E, Stegen J, and Scheibe T, Machine Learning-based Metabolic Network Modeling for Omics-integrated Biogeochemical and Reactive Transport Simulations, American Geophysical Union (AGU) Fall Meeting, Virtual, December 1 – 17, 2020. (invited talk)
  • Kessell A, Song F, Edirisinghe J, Henry C, and Song HS, Metabolic Network Modeling and Metabolomics Integration for Comparative Analysis of Biogeochemical Reactions in Multiple River Systems, American Geophysical Union (AGU) Fall Meeting, Virtual, December 1 – 17, 2020.
  • Napieralski S, Song HS, and Scheibe T, Variations in Hyporheic Zone Aerobic Respiration across Four Rivers as Predicted from Dissolved Organic Matter Composition, American Geophysical Union (AGU) Fall Meeting, Virtual, December 1 – 17, 2020.
  • Klasek S, Anderson C, Arredondo MG, Rempfert K, Danczak R, Lee JY, Song HS, and Stegen J, Temporal and Spatial Changes in Organic Matter Thermodynamics across Globally-Distributed River Corridors, American Geophysical Union (AGU) Fall Meeting, Virtual, December 1 – 17, 2020.
  • Bice K, Wrighton K, Daly R, Schöpflin L, Danczak RE, Song HS, Schalles J, and Meile CD, Investigating Subsurface Biogeochemistry in Tide-Impacted Altamaha River Sediment Using Microbial Metagenomics and Metabolomics, American Geophysical Union (AGU) Fall Meeting, Virtual, December 1 – 17, 2020.
  • Song HS, Prediction of condition-specific metabolic responses of soil microbiomes through multi-omics and model integration, Research Meeting: Principles of Microbial Ecosystems, Tokyo Metropolitan University, Tokyo, Japan, Virtual, November 21, 2020. (invited seminar)
  • Kessell A and Song HS, Network and Data-Driven Modeling to Predict Context dependent Microbial Interactions, 2020 AIChE Annual Meeting, Virtual, November 16 – 20, 2020. 
  • Lee JY, Saddler, N, Egbert R, Anderton, C, Hofmockel K, Jansson J, and Song HS, Deep Learning Prediction of Interspecies Interactions from Self-organized Spatiotemporal Patterns of Co-evolving Organisms, 2020 AIChE Annual Meeting, Virtual, November 16 – 20, 2020.
  • Song HS, Modeling Microbial Intelligence, BSE Colloquium, Department of Biological Systems Engineering, UNL, Virtual, October 14, 2020. (invited seminar)
  • Song HS, Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns, Tokyo Metropolitan University, Virtual, September 11, 2020. (invited seminar)
  • Song HS, Multi-omics integration into metabolic networks for environmental microbiome modeling, Microverse Symposium 2020, Virtual, September 1 – 3, 2020. (participated as an invited panelist/speaker for a roundtable)
  • Song HS, Connecting Metabolites to Function: Substrate-explicit Modeling of Environmental Microbial Community Dynamics, Multiscale Microbial Dynamics Modeling Summer School, Virtual, July 6 – 10, 2020. (invited lecture)
  • Song HS, Metabolic Modeling Landscape: A Review of Approaches and Methods, Multiscale Microbial Dynamics Modeling Summer School, Virtual, July 6 – 10, 2020. (invited lecture)
  • Song HS, Machine Learning / AI Methods for Metabolic Modeling in RTMs, Multiscale Microbial Dynamics Modeling Summer School, Virtual, July 6 – 10, 2020
  • Song HS, Zheng J, Garayburu-Caruso V, Graham E, Kaufman M, Wrighton K, and Stegen J, Biogeochemical Consequences of DOM Chemistry, Microbial Gene Expression, and Nutrient Concentrations: Integration between Lab Experiments and Substrate/Microbially-Explicit Models Linked to Reactive Transport, Environmental System Science (ESS) PI Meeting, Virtual, May 19 – 20, 2020. 
  • Stegen J, Arntzen E, Brooks S, Chen X, Garayburu-Caruso V, Goldman A, Gomez-Velez J, Graham E, Hall R, Kaplan D, Kaufman M, Song HS, Williams K, and Wrighton K, River Corridor Hydrobiogeochemistry Across Basins, Environmental System Science (ESS) PI Meeting, May 19 – 20, 2020.

2019

  • Zheng J, Song HS, and Scheibe T, Multi-omics Integration for Substrate-Explicit Biogeochemical Modeling and More, American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 9 – 13, 2019.
  • Song HS, Nelson W, Lee JY, Henry C, Edirisinghe J, Liu F, Stegen J, Graham E, Chen K, Song X, Zheng J, Hammond G, Moulton D, Chen X, and Scheibe T, Multi-omics Integration for Substrate-Explicit Biogeochemical Modeling and More, American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 9 – 13, 2019. (invited talk)
  • Song HS, Lee NR, Kang Z, and Lee DY, Modeling of Environment-dependent Microbial Interactions and Dynamics, 2019 AIChE Annual Meeting, Orlando, FL, November 10 – 15, 2019. 
  • Song HS, Microbial Community Modeling: Context-Dependent Interactions, Community Dynamics, and More, Department of Statistics, UNL, December 4, 2019. (invited seminar)
  • Song HS, Microbial Community Modeling: Context-Dependent Interactions, Department of Food Science and Technology, UNL, September 30, 2019. (invited seminar)
  • Ahamed F, Song HS, Ho YK, A multi-layered population balance model for the enzymatic hydrolysis of cellulose: Elucidation of potential mechanisms affecting the rate slowdown, 14th Asian Congress on Biotechnology 2019 (ACB 2019), Taipei, Taiwan, July 1-4, 2019.
  • Song HS, Nelson WC, Lee JY, Henry CS, Edirisinghe J, Liu F, Stegen J, Graham E, Zheng J, Moulton D, Chen X, and Scheibe T, Metabolic Network and Multi-omics Integration for Predictive Biogeochemical Modeling, 2019 Environmental System Science (ESS) PI Meeting, Potomac, MD, April 29 – May 1, 2019. 
  • Song HS, Lee JY, McClure R, Nelson WC, Henry CS, Edirisinghe J, Liu F, Hofmockel KS, and Jansson JK, Integrative Network Modeling for Predicting Biochemical Signatures in Complex Soil Systems, 2019 Genomic Sciences Program Annual Principal Investigator (PI) Meeting, Tysons, VA, February 25 – 27, 2019. (inivted talk)