Professor Larisa Soldatova

Staff details

Position Reader in Data Science
Department Computing
Email l.soldatova (
Phone +44 (0)20 7919 7863
Professor Larisa Soldatova

Larisa joined Goldsmiths in November 2017 as director of the online Masters in Data Science programme.

Larisa is an internationally recognized expert in AI, particularly in discovery science, reasoning, knowledge representation and semantic technologies. She leads in Goldsmiths the EPSRC-funded project ACTION on cancer aiming to develop an AI system to assist in recommending personalized cancer treatments.

The project is in partnership with the University of Manchester and has a funding total of over £1,300,000.

Larisa is also working on the Robot Scientists project, which investigates what processes of scientific discovery can be automated and how robotic and human scientists can work together.

The Robot Scientist Adam was the first system that made an autonomous scientific discovery.

Larisa is involved in a number of international projects on the development of semantic standards, e.g. Machine Learning Schema, Robotics Task Ontology Standard, Laboratory Protocols EXACT.

Publications and research outputs


Olier, Ivan; Orhobor, Oghenejokpeme I.; Dash, Tirtharaj; Davis, Andy M.; Soldatova, Larisa N; Vanschoren, Joaquin and King, Ross D.. 2021. Transformational machine learning: Learning how to learn from many related scientific problems. Proceedings of the National Academy of Sciences, 118(49), e2108013118. ISSN 0027-8424

Wang, Kanix; Stevens, Robert; Alachram, Halima; Li, Yu; Soldatova, Larisa N; King, Ross; Ananiadou, Sophia; Schoene, Annika M.; Li, Maolin; Christopoulou, Fenia; Ambite, José Luis; Matthew, Joel; Garg, Sahil; Hermjakob, Ulf; Marcu, Daniel; Sheng, Emily; Beißbarth, Tim; Wingender, Edgar; Galstyan, Aram; Gao, Xin; Chambers, Brendan; Pan, Weidi; Khomtchouk, Bohdan B.; Evans, James A. and Rzhetsky, Andrey. 2021. NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding. npj Systems Biology and Applications, 7(1), 38. ISSN 2056-7189

Coutant, Anthony; Roper, Katherine; Trejo-Banos, Daniel; Bouthinon, Dominique; Carpenter, Martin; Grzebyta, Jacek; Santini, Guillaume; Soldano, Henry; Elati, Mohamed; Ramon, Jan; Rouveirol, Celine; Soldatova, Larisa N and King, Ross D.. 2019. Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast. Proceedings of the National Academy of Sciences, 116(36), pp. 18142-18147. ISSN 0027-8424

Olier, Ivan; Sadawi, Noureddin; Bickerton, G. Richard; Vanschoren, Joaquin; Grosan, Crina; Soldatova, Larisa and King, Ross D.. 2018. Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Machine Learning, 107(1), pp. 285-311. ISSN 0885-6125

Bandrowski, Anita; Brinkman, Ryan; Brochhausen, Mathias; Brush, Matthew H; Bug, Bill; Chibucos, Marcus C; Clancy, Kevin; Courtot, Mélanie; Derom, Dirk; Dumontier, Michel; Fan, Liju; Fostel, Jennifer; Fragoso, Gilberto; Gibson, Frank; Gonzalez-Beltran, Alejandra; Haendel, Melissa A; He, Yongqun; Heiskanen, Mervi; Hernandez-Boussard, Tina; Jensen, Mark; Lin, Yu; Lister, Allyson L; Lord, Phillip; Malone, James; Manduchi, Elisabetta; McGee, Monnie; Morrison, Norman; Overton, James A; Parkinson, Helen; Peters, Bjoern; Rocca-Serra, Philippe; Ruttenberg, Alan; Sansone, Susanna-Assunta; Scheuermann, Richard H; Schober, Daniel; Smith, Barry; Soldatova, Larisa N; Stoeckert, Christian J; Taylor, Chris F; Torniai, Carlo; Turner, Jessica A; Vita, Randi; Whetzel, Patricia L and Zheng, Jie. 2016. The Ontology for Biomedical Investigations. PLoS ONE, 11(4), e0154556. ISSN 1932-6203

Quinn, Jacqueline Y; Cox, Robert Sidney; Adler, Aaron; Beal, Jacob; Bhatia, Swapnil; Cai, Yizhi; Chen, Joanna; Clancy, Kevin; Galdzicki, Michal; Hillson, Nathan J; Le Novère, Nicolas; Maheshwari, Akshay J; McLaughlin, James Alastair; Myers, Chris J; P, Umesh; Pocock, Matthew; Rodriguez, Cesar; Soldatova, Larisa; Stan, Guy-Bart V; Swainston, Neil; Wipat, Anil and Sauro, Herbert M. 2015. SBOL Visual: A Graphical Language for Genetic Designs. PLoS Biology, 13(12), e1002310. ISSN 1544-9173

Williams, Kevin; Bilsland, Elizabeth; Sparkes, Andrew; Aubrey, Wayne; Young, Michael; Soldatova, Larisa N; De Grave, Kurt; Ramon, Jan; de Clare, Michaela; Sirawaraporn, Worachart; Oliver, Stephen G and King, Ross D. 2015. Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases. Journal of the Royal Society, Interface, 12(104), 20141289. ISSN 1742-5662

Soldatova, Larisa N; Nadis, Daniel; King, Ross D; Basu, Piyali S; Haddi, Emma; Baumlé, Véronique; Saunders, Nigel J; Marwan, Wolfgang and Rudkin, Brian B. 2014. EXACT2: the semantics of biomedical protocols. BMC bioinformatics, 15 Sup, S5. ISSN 1471-2105

Conference or Workshop Item

Sami, Ishrat; Russell-Rose, Tony and Soldatova, Larisa. 2023. 'A Cognitive Theoretical Approach of Rhetorical News Analysis'. In: Text2Story - Sixth Workshop on Narrative Extraction from Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023). Dublin, Ireland 2 April 2023.

Sami, Ishrat; Russell-Rose, Tony and Soldatova, Larisa. 2022. 'Comprehensive contextual visualization of a news archive for aiding story planning'. In: Text2Story 2022. Stavanger, Norway 10 April 2022.

Sami, Ishrat; Russell-Rose, Tony and Soldatova, Larisa. 2022. 'Comprehensive Terms Board Visualization for News Analysis and Editorial Story Planning'. In: Text2Story - Sixth Workshop on Narrative Extraction from Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023). Dublin, Ireland 2 April 2023.

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