In project code order.

No.	Investigator	Project Code	Title	Sponsor
1	Wilfrid Kendall	3135	Dirichlet Forms & MCMC	EPSRC
2	Chenlei Leng	3137	TATA Steel UK Ltd
3	Gareth Roberts	3142	New Approaches	EPSRC
4	Daphne Ezer	3144	CoED	EPSRC
5	Gareth Roberts	3149	CoSInES	EPSRC
6	Giuseppe Cannizzaro	3152	EPSRC Fellowship	EPSRC
7	Simon Spencer	3153	NTD Modelling Consortium
8	Simon Spencer	3158	Vaccine Efficacy Evaluation for Priority Emerging Diseases	DoH
9	Krys Latusznyski	3162	Royal Society Fellowship	Royal Society
10	Adam Johansen	3166	Robust, Scalable Sequential Monte Carlo	EPSRC
11	Richard Everitt	3168	Statistics Inference	NERC
12	Rito Dutta	3174	Foresight 2020	EPSRC
13	Xavier Didelot	3175	Qualifying & Transmission Routes	MRC
14	Ioannis Kosmidis	3179	Gates Foundation
15	Yi Yu	3180	Change Point Detection	EPSRC
16	Alex Mijatovic	3182	Fast Nightingales	EPSRC
17	Jim Smith	3183	Development of Bayesian Network	DSTL
18	Martine Barons	3184	Food Waste Reduction	STFC
19	Jere Koskela	3185	Mathematical Foundations	EPSRC
20	Simon Spencer	3186	Gates Foundation
21	Theo Damoulas	3187	ML Foundations	EPSRC
22	Barbel Finkenstadt	3188	Using catastrophies, dynamics...	EPSRC
23	Jon Forster	3189	Additional Mathematical Sciencess Funding - Postdocs	EPSRC
24	Jim Smith	3190	AI for Human & Border Security	Turing
25	Jim Smith	3191	Decision Support Systems	Turing

EPSRC: Academy for PhD Training in Statistics (APTS)

The Academy for PhD Training in Statistics is a collaboration between major UK statistics research groups to organise courses for first-year PhD students in statistics and applied probability nationally. The intention of APTS is to provide courses which will be attractive and relevant to the research preparation and background education of all statistics and probability PhD students in the UK.

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Links:

Research Councils UK

Academy for PhD Training in Statistics (APTS)